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Great Expectations:
The Role of Beliefs in Economics and Monetary Policy
Based on a speech given by President Santomero at the Penn Humanities Forum,
University of Pennsylvania, Philadelphia, PA, November 5, 2003

W

BY ANTHONY M. SANTOMERO

hether one looks at consumers or
businesses, expectations — people’s beliefs
— are driving forces of every economy. The
economic outcomes one can expect from
public policy are affected by the way beliefs are formed
and how they vary over time. In this message, President
Santomero gives his perspective on the important role
beliefs play in economic decisions and policymaking.
He also offers some observations on the important role
the policymaker’s credibility plays in determining the
outcome of any monetary policy action.

Beliefs play an important role
in economic decisions and economic
policymaking. The beliefs held by
both consumers and businesses lead to
physical results in terms of the amount
a nation produces, the opportunity
for employment, and the formation
of both personal and national wealth.
The connection is the effect that
beliefs have on people’s demand for
goods and services and on businesses’
willingness to invest in new equipment
and the construction of new facilities.
Beliefs are important to the
decisions people make. Whether one
looks at consumers or businesses,
expectations — people’s beliefs — are
driving forces of every economy. The
economic outcomes one can expect
from public policy are affected by the
way beliefs are formed and how they
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vary over time. It matters whether
people form their beliefs by looking
at the past or by looking forward, by
either trusting economic policymakers’ promises or forecasting economic
conditions.
Beliefs also play a central role
in one current debate within monetary
policy circles: the importance of the
credibility of the policymaker in determining the outcome of any monetary
policy action.
BELIEFS IN AN ECONOMIC
CONTEXT — ECONOMIC
EXPECTATIONS
You will not see the word
“beliefs” very much in the field of
economics. Rather, you will find the
phrase “economic expectations.” This
is because economists generally talk

about people’s “beliefs” in the context
of their expectations about the future.
Yet, these expectations are at the heart
of virtually every economic decision
people make today.
For example, when consumers make decisions to spend or save,
expectations play an important role.
When making these decisions, people
base their actions on both their current income and future prospects. This
implies that actions today are predicated upon people’s belief in the future
and their future expected earnings.
This plays out on college campuses
every day. Even during their graduate
school days, MBA, law, and medical
school students generally spend more
than doctoral students. Unfortunately,
the life of a scholar tends to be less
remunerative than a career in business, law, or medicine. Since students
know this, their spending habits begin

Anthony M. Santomero, President,
Federal Reserve Bank of Philadelphia
Business Review Q2 2004 1

to emerge early, and these patterns
develop not because of current stipends
but because of earnings expected well
into the future. Likewise, as each of
us saves for retirement, we base our
decisions on how long we expect to be
employed, our expected future annual
income, and what we expect to obtain
from our accumulated wealth over the
intervening years until retirement.
Again, expectations about the future
matter in an important way, as our
beliefs dictate the steps we take today
and the plans we make for tomorrow,
aimed at achieving our economic and
personal goals.
Business decisions are
similarly affected by managers’ view
of the future. In fact, their behavior is
perhaps even more dependent on an
assessment of the years ahead. Businesses routinely try to project future
gains that can be derived from current investments. When making a
decision to invest in a specific project
today, businesses compare the project’s
expected future flow of revenues to its
current cost. This is fundamental to
capital budgeting. These cash flows are
only expectations because they are not
contracted, nor are they guaranteed.
They are derived from management’s
belief in the firm’s value proposition,
the marketing studies that support the
project, and the firm’s assessment of its
own capability.
Expectations even affect
economic decisions about foreign
activity. Decisions about whether to
import or export or whether to make a
foreign direct investment or a foreign
financial investment are all tied to the
future relative value of the currencies
involved. Moreover, these exchange
rates are driven by the expectations
surrounding countries’ economies and
their political future.
So expectations matter and
expectations pervade virtually every
economic decision.

2 Q2 2004 Business Review

EXPECTATIONS AND
PUBLIC POLICY
Public policymakers are not
oblivious to this fact. They recognize
that expectations influence people’s
behavior and that policymakers’ actions will change the private sector’s
view of future economic conditions.
Policymakers take this
interaction into account when policy
is made — or to put it more directly,
their decisions are influenced by this
awareness. This can be illustrated
quite easily with reference to the
debate surrounding the latest federal
tax cuts.
Economists know the effect
of a tax cut will differ depending on
whether consumers believe a personal

example, another part of the administration’s enacted tax program included
federal tax incentives that were clearly
labeled as a temporary tax break for
businesses to encourage investment in
new equipment. These incentives are
set to expire at the end of this year.
Assuming businesses believe Congress
will not extend this temporary benefit
or make it permanent, this tax benefit
should encourage a short-run increase
in business spending. Accordingly,
most economists expect some business
spending to be pulled forward to 2004
to take advantage of the tax incentive.
Let me illustrate why expectations matter to the Federal Reserve
in its conduct of national monetary
policy. The Federal Reserve’s goal is

[Policymakers] recognize that expectations
influence people’s behavior and that
policymakers’ actions will change the private
sector’s view of future economic conditions.
income tax cut is temporary or permanent. If people expect the tax cut to be
a one-time-only event, they are likely
to spend less than if they believe the
tax cut is a permanent policy change.
To see this, consider your own likely
behavior. In all likelihood, a one-time
boost in your take home pay will have
a smaller effect on your spending than
a program that permanently increases
your net income well into the future.
Therefore, to trigger a desired result
of a large boost in economic activity,
a tax cut perceived as permanent will
assist a slowing economy more than
a transitory cut will. This was one of
the rationales for the permanent taxrate changes proposed by the current
administration.
But transitory tax changes
can also have a place in tax policy
aimed at short-term response. For

to create financial conditions that
foster maximum sustainable economic
growth. The Fed makes two important
contributions in this regard. First, it
provides essential price stability —
meaning little or no inflation. Second,
it tries to offset shifts in demand that
deter the economy’s ability to reach its
potential.
To a central banker, long-run
price stability is of utmost importance
because, for the market economy to
achieve sustainable growth, it must
generate efficient resource allocations,
including appropriate savings and
investment decisions. This requires
not only a stable price level in the near
term but also the expectation of stable
prices over the long term. This implies
that optimal monetary policy is not
simply a matter of establishing a stable
price level today, but of ensuring a

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stable price level — and expectations
of price stability — into the future.
Only then can consumers and investors be confident in the environment
in which they must make decisions
that have implications far into the
future. For this reason, central bankers
often talk about the need to establish
credibility and about the public’s confidence in our long-run commitment
to price stability.
For the past two decades, the
Fed has focused on the goal of price
stability and has been quite successful
in achieving it. But we have not always
been successful. Recall the 1970s.
Early in the decade, inflation began to
rise, and the Federal Reserve failed to
establish itself as a champion of price
stability. The public’s inflation expectations became unstable. Inflation and
inflation expectations spiraled upward.
Economic performance deteriorated. The Fed, concerned about the
potential impact on employment and
economic activity, initially avoided
undertaking the strong policy actions
necessary to break this destructive
cycle. It was not until Federal Reserve Chairman Paul Volcker led the
economy into disinflation in 1979-82
that the Fed began to regain credibility. Unfortunately, regaining credibility
was costly. We suffered two recessions
during those years.
Nonetheless, since that time,
the Federal Reserve has achieved what
is essentially price stability and has
also stabilized inflation expectations.
This can be seen in at least two different ways.
First, the level of interest
rates has moved lower over the period
and has remained low. This is important because the level of nominal
interest rates tends to move with expected inflation. This idea has a long
history in economics, but it was best
articulated by Irving Fisher in 1930.
He pointed out that investors in finan-

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cial assets would demand compensation for the loss in purchasing power
associated with nominal investments
when the price level rises. In other
words, if an investor believes inflation
will remain at 5 percent per year over
the next several years, she will demand
a yield of at least 5 percent. Otherwise,
she risks a loss of purchasing power at

For the past two
decades, the Fed
has focused on
the goal of price
stability and has been
quite successful in
achieving it.
the time the investment is redeemed.
Therefore, the downward trend in
market interest rates is associated
with our success in reducing inflation
expectations.
But we also have some survey
data in support of this view. The
Federal Reserve Bank of Philadelphia,
among others, has been tracking the
views of professional economists on
various economic indicators for many
years. Our Survey of Professional
Forecasters, or SPF, asks for quarterly
forecasts for a variety of economic
data. As part of this process, we ask for
expected consumer price inflation over
the next 10 years. The most recent SPF
reported that the expected inflation
rate over the next 10 years was 2.5 percent per year. This level has remained
essentially unchanged over the past
three years, even as many disturbances
buffeted the economy and the Federal
Reserve aggressively reacted to offset
their macroeconomic effects.
Why is this important? Stated
simply, the more people believe in the

existence of price stability, the more
effective monetary policy will be as it
tries to offset shifts in demand that
deter the economy’s ability to reach its
potential. If people are relatively confident that a downturn will be shortlived, and monetary policy action will
be effective in returning the economy
to sustainable growth, they will be
more willing to spend into a downturn,
taking advantage of temporarily low
prices and low interest rates.
In this respect, the fact that
consumers did indeed spend their way
through the recent economic downturn is a testament to the credibility
of monetary policy and consumer expectations that we would soon return
to a more acceptable rate of economic
growth. The Fed’s aggressive countercyclical monetary policy over the
most recent business cycle has given
consumers the opportunity to borrow
at relatively low interest rates. Seizing this opportunity, households have
increased their purchases of homes and
durable goods at record rates, dampening the breadth and depth of the past
recession. They are also sustaining that
growth, giving business investment
time to recover and businesses a reason
to invest in a better future.
This situation contrasts with
the recent Japanese experience, where
interest rates at or close to zero elicited
little response. The difference is confidence in the future. Of course, confidence is born of many factors, not just
the effectiveness of monetary policy.
Nonetheless, I think confidence in the
Federal Reserve’s effectiveness is part of
the mix. In short, expectations about
the central bank’s performance figure
into the public’s behavior. Likewise,
maintaining public confidence in both
the stability of prices and economic
growth helps the Federal Reserve
achieve its mission.
In Japan’s case, interest rates
had been at or close to zero for a long

Business Review Q2 2004 3

time, without eliciting a substantial response in terms of increased consumer
or business spending. Only recently
has the situation begun to change. For
a number of years, people in Japan did
not expect an immediate turnaround
in their economy. Accordingly, they
have had little incentive to rush to
take advantage of current low rates.
The other aspect of Japan’s
recent experience that has attracted
some attention is its persistent price
deflation. Ordinarily, when businesses cut prices, ensuing increases in
demand help to generate an economic
turnaround. Once the turnaround
begins, prices stabilize and return to
normal. Indeed, the expectation of future price increases is what encourages
consumers to buy now, inducing a positive response to the price cuts. But if
people believe the initial price declines
are a harbinger of continued weakness
and additional price declines, demand
slackens, leading to even less economic
activity and a continuing downward
spiral. Again, expectations are at the
heart of these economic decisions and
the impact of these price changes.
In sum, these examples illustrate the important role beliefs play in
economic decisions. Physical results in
terms of actual consumer and business
behavior are influenced by consumer
and business expectations — that is,
their beliefs.
HOW BELIEFS ARE FORMED
MATTERS
Given the importance of
expectations, it should not be surprising that considerable effort has been
expended on studies of expectations.
Economists have been interested
in a number of aspects of expectations, including how they are formed,
how expectations change, and their
speed of adjustment. Indeed, failure
to investigate these issues fully could
lead to flawed empirical and analytical

4 Q2 2004 Business Review

research and then flawed economic
policy as well.
For these reasons, researchers
have long investigated what people believe will occur in the future and how
their views vary over time. Researchers interested in studying consumer
spending want information about what
consumers believe and how that affects
their short-term spending behavior.
Similarly, economists studying firms’

than to these consumer sentiment
numbers. Such numbers are helpful in
explaining behavior, most often during
times of shocks such as wars, but they
are not perfect. Consumers have too
often said one thing and done another
for economists to totally trust confidence survey numbers.
So economists have had to
look more closely at the underlying
economic data to determine expecta-

Researchers have long investigated what
people believe will occur in the future
and how their views vary over time.
behavior track firms’ views about the
outlook for their businesses or industry
and how this is related to their own
business spending on new facilities or
equipment.
But beliefs are difficult to
observe. One way to obtain data is to
simply ask people what they believe.
Some organizations conduct regular
surveys of general consumer issues.
For example, the Conference Board
publishes a survey of consumer confidence, and the University of Michigan
publishes a survey of consumer sentiment. Both surveys generate an index
intended to summarize overall consumer attitudes. The Michigan survey
in particular asks pointed questions:
whether buying a car is a good idea
now or in the future, whether jobs are
plentiful now or are likely to be in the
future, and what the respondent expects the consumer price inflation rate
to be over the next five to 10 years.
Such information is relevant
and quite helpful. However, it does
not fully solve our problem because
behavior is only loosely related to such
surveys. It is well known that consumer spending is more closely related to
direct economic factors such as income

tions. Researchers obtain estimates of
expectations about future economic
data in several ways. These methods
essentially try to model how people
form their expectations, or beliefs,
about the future.
For instance, economists
have tried to generate proxy data for
expectations by simply extrapolating from the past, which amounts to
saying that people believe nothing is
really changing. Others have employed
a more forward-looking approach, relying on a model of the economy that is
calibrated to the past but permits more
to change in the future. If people form
their expectations or beliefs in a more
forward-looking manner, they may
behave differently than if they form
their beliefs by looking only at the
past. This difference is most evident in
economists’ discussions of the impact
of announced changes in economic
policy.
Suppose inflation were 8
percent and the central bank announced a policy to lower inflation in
the future from 8 percent to 2 percent.
If consumers and businesses absolutely
believed the policy announcement,
they would be willing to accept lower

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10-year interest rates immediately. As
a result, interest rates would adjust
sharply downward. The policy and
ensuing drop in interest rates would
essentially prove a self-fulfilling prophecy based on the strength of people’s
beliefs.
In contrast, if consumers and
businesses adjusted their expectations
about future inflation only after actual
inflation started to fall, they would not
be willing to accept a sharp reduction
in 10-year interest rates. This constitutes a kind of “seeing-is-believing”
skepticism in the populace.
In general, economic research
has shown that the economy makes
faster adjustments to announced policy
changes when people form their beliefs
in a forward-looking manner, rather
than forming their beliefs based on the
recent past behavior of economic data,
and when policymakers have credibility.
Economists’ understanding
of how expectations are formed has
evolved substantially over the past
30 years. In the early days of macroeconometric modeling, we modeled
people’s expectations as simple
extrapolations of their recent experience. Then, in the 1970s, the so-called
“rational expectations” revolution
changed our whole approach. We
began to model expectations about the
future as an accurate forecast of the
future economic environment.
We continue this research
effort even now. Currently, we are
modeling expectations as the outcome
of an intelligent and well-informed,
but occasionally mistaken, learning
process. The marketplace eventually
weeds out expectations based on poor
information and erroneous thinking, but this can take a considerable
amount of time. This has led many
people to argue that policymakers can
assist the market in its attempt to predict the future by greater transparency

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and more public disclosure. Let me
turn to this topic and its implication
for monetary policy.
TRANSPARENCY, DISCLOSURE,
AND EXPECTATIONS
Because the Fed can avoid
sharp changes in public expectations
about monetary policy and the Fed’s
credibility by being as transparent as
possible in its own decision-making,
information about the Fed’s policy
goals, its assessment of the current
economic situation, and its strategic
direction are increasingly a part of the
public record. The statements now

The Fed recognizes
that transparency
plays an important
role in achieving its
policy objectives and
goals.
released after every Federal Open Market Committee meeting are important
in this regard. They not only report
our decisions concerning immediate
action but also our sense of the key
factors driving near-term economic
developments and the strategic tilt to
our actions going forward.
The Fed recognizes that
transparency plays an important role
in achieving its policy objectives and
goals. Any policy action can have very
different effects, depending on what
the private sector infers about the
information that induced policymakers
to act, about policymakers’ objectives,
and about their likely future actions.
Over the last few decades,
there has been enormous progress
in improving the clarity of the Fed’s
objectives and its discipline in pursuing those objectives. There has also

been great progress in providing more
accurate and timely information about
Fed policy actions. This progress has
greatly enhanced policymakers’ credibility. Providing more certainty about
the central bank’s objectives and plans
through greater transparency and
disclosure will help avoid large swings
in public expectations about future
changes in monetary policy. This can
help stabilize the economy over the
long run.
When you come right down
to it, the Fed directly influences just
one market interest rate — the rate
on overnight unsecured loans among
banks, commonly known as the fed
funds rate. Therefore, for the Fed’s
policy actions to affect economic
activity, they must ripple out to other
short-term interest rates. How and to
what extent are primarily a matter of
expectations.
When the Federal Reserve
changes its fed funds target, financial
markets make an assessment as to how
persistent that change will be, what
it signals about the future path of fed
funds rate targets, and the economy’s
reaction to the Federal Reserve’s
change in policy.
This alteration in market expectations, in turn, drives changes in
other short-term interest rates. It is the
markets’ anticipation today of future
Federal Reserve actions that extends
the impact of a fed funds rate change
to other short-term interest rates.
The effect of a monetary policy action by the Fed will also ripple out
to long-term interest rates. Thus, the
change in the overnight rate, a single
Fed action, affects the entire pattern of
interest rates, with long-term interest
rates often moving in the same direction as short-term interest rates.
Research suggests that Federal Reserve near-term policy actions
are pretty well anticipated by financial
markets, though the precise timing

Business Review Q2 2004 5

and magnitude of interest rate changes
are not.
At times, however, longterm interest rates do not move in the
same direction as short-term rates.
For instance, this can occur when
the Federal Reserve is reducing its fed
funds rate target but investors believe
this easier monetary policy will lead to
higher inflation. Yet again, an economic outcome depends on what investors
expect — their beliefs — about the
future. The better markets can predict
the future course of Fed actions and
their results for the economy, the more
effective monetary policy will be.
Unfortunately, expectations
about the economy evolve in ways we
cannot always predict. They are also
subject to dramatic shifts that we cannot always anticipate. Consequently,
they impart an inevitable element of
instability to the economy.
INFLATION TARGETING
AS A NEXT STEP
It is partly for this reason that
some economists have recently spoken
in favor of explicit inflation targeting.
Proponents argue that the Federal
Reserve should set an explicit target
for inflation to further improve central
bank transparency.
I admit to being of this
opinion. I believe the FOMC should
seriously consider inflation targeting
so as to consolidate the gains made in
central bank credibility over the past
two decades and to increase the efficacy of policy even further.
I believe we have reached a
point where institutionalizing inflation targeting simply makes good sense
from an economic perspective. In
short, it is a reasonable next step in the

6 Q2 2004 Business Review

evolution of U.S. monetary policy, and
it would help secure full and lasting
benefits from our current stable price
environment. Evolving to explicit
inflation targeting from our current
implicit target has significant potential
benefits, and the costs may be minimal
if we can implement it in a constructive manner.

beliefs assume characteristics of a selffulfilling prophecy. If people believe
the economy is healthy and strong,
that belief helps to make it so. Their
confidence will induce spending and
increase demand, which will, in turn,
promote business investment spending, which creates jobs, and ultimately
translates into economic growth.

We have reached a point where
institutionalizing inflation targeting simply
makes good sense from an economic
perspective.
Clearly, proper implementation of inflation targeting is crucial
to its success. That, in turn, requires
more research and analysis about how
and when to introduce it. But while it
requires more public debate and discussion, it may be an idea whose time
is approaching.
Explicit information about
the Fed’s policy goals, along with its
assessment of the current economic
situation and its strategic direction,
can only improve financial markets’
expectations and move market interest
rates into better alignment with appropriate Fed policy.
CONCLUSION
Expectations are at the heart
of virtually every economic decision
people make. The public’s expectations
about factors affecting the economy
have a powerful impact on the economy’s overall performance. People’s
view of the future pervades virtually
every decision made in our complex
and vibrant economy. In some ways,

People’s beliefs extend
not just to the economy’s state and
structure but also to policymakers’
behavior in their attempts to control
both monetary and fiscal policy. As
for monetary policy, its effectiveness hinges on public confidence
— people’s belief — that the Federal
Reserve has the commitment and the
capacity to maintain stable prices and
foster maximum sustainable economic
growth.
Establishing this confidence
is not easy, particularly in a world
where shifts in public expectations can
themselves create episodes of economic instability. But, ultimately, the
key to creating stability lies in demonstrating stability: focusing on the
ultimate policy objectives, pursuing
those objectives persistently, and communicating them forthrightly. In this
regard, I believe the Federal Reserve is
on that path. BR

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Should Cities Be Ready for Some Football?
Assessing the Social Benefits of Hosting an NFL Team

A

BY GERALD A. CARLINO AND N. EDWARD COULSON

re the large public expenditures on new
stadiums a good investment for cities? Does
hosting a major sports team have benefits?
Although public subsidies for professional
sports teams are controversial, the answer to these
questions may well be yes. In this article, Jerry Carlino
and Ed Coulson report the results of their 2003 study:
When quality-of-life benefits are included in the calculation, building new stadiums and hosting an NFL franchise
may indeed be a good deal for cities and their residents.

Rapid population growth in
many metropolitan areas in the United
States has made them economically
viable locations for professional sports
franchises such as those of Major
League Baseball (MLB) or the National Football League (NFL). But since all
four of the major sports leagues tightly
control both the creation of new
franchises and the relocation of teams,
cities’ demand for teams far exceeds
the supply.1
The other major sports leagues are the National Hockey League (NHL) and the National
Basketball Association (NBA).
1

Jerry Carlino
is a senior
economic
advisor and
economist in
the Research
Department of the
Philadelphia Fed.

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As a result, the price cities
have to pay to get teams has gone up.
Cities have offered favorable stadium
deals in their efforts to retain or attract
teams. Partly as a result of this fierce
competition for teams, “America is in
the midst of a sports stadium construction boom,” as noted by Roger Noll
and Andrew Zimbalist. Professional
sports teams are demanding — and
receiving — subsidies from local
governments for the construction or
restoration of sports stadiums. According to Raymond Keating, the total cost
of 29 sports facilities that opened between 1999 and 2003 is expected to be
around $9 billion. Keating found that
taxpayers’ money financed around $5.7
billion, or 64 percent, of this $9 billion.
The boom in stadium construction coupled with the increased
public support for these facilities raises
the question: “Are subsidies to sports
teams a good investment for cities?”
The answer has been controversial.

Often, subsidies are justified
by claims that attracting or retaining
sports teams more than pays for itself
in increased local tax revenue by creating new jobs and more spending. More
recently, local officials have come to
view a downtown stadium project as
an important part of the revitalization
of the central city’s urban core. Advocates of this approach point to Jacobs
Field in Cleveland, Coors Field in Denver, and Camden Yards in Baltimore as
models of how stadium-based development can work. However, independent
studies by economists often indicate
that taxpayers may not be getting such
a good deal. Most studies that have
attempted to quantify the creation of
jobs, income, and tax revenue have
found that the direct monetary impact
felt by a city hosting a sports team is
less than the sizable outlay of public
funds. Yet civic leaders continue to
make the case for professional sports
and the beneficial role they play in the
community.
Recently, economists have
pointed out that previous studies
missed a basic point: Professional
sports teams add to residents’ quality of life in cities that host teams. It’s
possible that people obtain benefits
from having a local sports team even
if they never go to a game. They root

Visiting Scholar
Ed Coulson is
a professor of
economics at
the Pennsylvania
State University,
University Park,
Pennsylvania.
Business Review Q2 2004 7

for the local athletes, look forward to
reading about their success or failure in
the newspaper, and share in the citywide joy when the home team wins a
championship.
Economists have long studied
the effects of an area’s quality of life
on wages and the cost of housing.
Past studies have found that people
are willing to pay indirectly for local
amenities, such as good weather, scenic
views, and nearness to the ocean, in
the form of higher rents and lower
wages. Similarly, if people benefit
from having a professional sports
franchise in their community, they are
presumably willing to pay for it — if
not directly through the purchase of
tickets, then indirectly through an
increased willingness both to pay more
for housing in the area and to accept
lower wages.
We did a study in 2003 in
which we looked at the quality-of-life
benefits residents receive in cities
that host an NFL team. We found
that once quality-of-life benefits are
included in the calculus, the seemingly
large public expenditure on new stadiums appears to be a good investment
for cities and their residents.
THE POLITICAL ECONOMY
OF SPORTS FRANCHISES
Professional sports teams
play in facilities heavily subsidized by
local governments. Typically, cities use
general revenue bonds to finance their
share of the cost of a stadium. These
bonds are paid off through a variety of
sources, for example, ticket surcharges,
taxes on hotel rooms and car rentals, and state lottery proceeds. These
stadiums are usually publicly owned
and leased to teams. A city derives revenue from publicly built stadiums in a
number of ways. Chief among them are
rental payments made by teams; the
local government’s share of parking,
concessions, and luxury boxes; prop-

8 Q2 2004 Business Review

erty taxes on the stadium paid by the
team; and rent received for nonsports
activities, such as concerts.
On the cost side, the city
must account for depreciation and
maintenance of the stadium, and the
city’s share of the cost of providing
utilities, refuse collection, and police,
fire, and rescue services. In addition,
municipalities must account for what
economists call opportunity costs: local governments’ spending on stadiums lowers spending for other worthy

Economists have long
studied the effects of an
area’s quality of life on
wages and the cost of
housing.
projects or programs. For example,
suppose the annual cost of a stadium
in City A is $20 million a year for the
next 30 years. If an entry-level teacher’s salary (including benefits) runs
about $60,000 annually, one measure
of the opportunity cost of the stadium
is the 333 teachers that could have
been added to the city’s school system.
Indeed, to keep the Cincinnati Bengals
from making good on a threat to move
to Baltimore in 1995, local officials
agreed to a $540 million deal for two
new stadiums (one for the Reds, too).
Although the action might not have
been linked to the stadium-funding
bill, The Economist noted that shortly
before the vote on the stadium-funding
bill, Cincinnati laid off 400 staff members from its school district, including
200 teachers.2
In principle, cities could set
rental payments to cover all the costs
associated with constructing and operating municipal stadiums. In practice,

since all four major sports leagues
exercise considerable control over the
geographic mobility of established
teams as well as over the creation of
new franchises, cities do not set rental
payments in this way. In the intense
competition for teams, cities have
offered favorable stadium deals in
their efforts to retain or attract sports
franchises.
Numerous independent studies by economists have shown that any
revenue cities receive typically fails
to cover costs because of favorable
clauses in the lease regarding rent;
the teams’ share of parking, concessions, and luxury boxes; and partial or
full forgiveness of property taxes. For
example, according to Michael Leeds
and Peter von Allmen, the NFL’s
Baltimore Ravens pay no rent, while
MLB’s Chicago White Sox pay $1 a
year for the use of New Comiskey Park.
In examining 25 sports facilities built
between 1978 and 1992, James Quirk
and Rodney Fort calculated that the
annual subsidy to professional sports
teams averaged $9.2 million (or $12.3
million in 2002 dollars). Even then,
the annual subsidy is underestimated
because data were not available for
investments made to facilities subsequent to original construction. Quirk
and Fort also estimated that the annual subsidy jumps to $20 million ($29
million in 2002 dollars) for the average
stadium when investments subsequent
to original construction are included
in the calculus.3
THE ECONOMIC
DEVELOPMENT RATIONALE
AND EVIDENCE
The question becomes:
Why do local governments provide

John Siegfried and Andrew Zimbalist point
out that the escalating costs of recent stadium
construction suggest that the average subsidy
has surely grown since 1992.
3

“Footloose Football,” The Economist,
September 9, 1995, p. 90.
2

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such large subsidies to professional
sports teams? One justification for the
subsidy has been that sports teams
increase employment and income and
promote growth of the local economy.
Obviously, public investment in stadiums can be beneficial, but how do we
evaluate a new sports facility’s contribution to local economic growth?
To address this question,
most proposals to use public funds for
building stadiums are accompanied by
an economic impact analysis. These
studies attempt to evaluate the costs
and benefits of a new stadium.
The costs and benefits fall
into four broad categories: direct
benefits, indirect benefits, construction
costs, and operating expenses. Direct
benefits stem from new spending that
a team generates for the city. This includes spending by fans in local restaurants and hotels and for souvenirs and
spending by players and other team
employees and the team’s spending for
local goods and services.
These direct expenditures by
teams, their employees, and their fans
become income for other city residents, who then re-spend part of this
income when purchasing other local
goods and services. This re-spending process, which continues through
second, third, and subsequent rounds,
is the indirect benefit. Since direct
expenditures lead to indirect expenditures, the direct expenditures are said
to have a “multiplier” effect on the
local economy. Thus, for example, if a
dollar of direct spending resulted in an
additional dollar of indirect spending
in the local economy, total spending
in the local area would be $2 and the
multiplier’s value is 2.4 According to
Joseph Bast, impact studies have used
multipliers with values as high as 3.

Jordan Rappaport and Chad Wilkerson
provide summary details for a representative
sample of recent stadium impact studies.
4

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One potential shortcoming
of impact studies is that they are often
commissioned by proponents of the
stadium projects, such as teams themselves, and conducted by accounting

sports teams, economists have used
other sorts of calculations to study this
impact. These studies have attempted
to measure the local impact of hosting
a team using three different methods.

Because of the difficulties in using “multiplier
analysis” to assess the economic impact of
professional sports teams, economists have
used other sorts of calculations to study this
impact.
firms or local chambers of commerce.
According to Noll and Zimbalist, the
authors of impact studies tend to make
very favorable assumptions about the
income and number of jobs generated
and how much of this income stays in
the local economy. In addition, they
may make unrealistic assumptions
regarding construction and operating costs and fail to account for the
opportunity cost of the funds tied up
in these projects; therefore, the net
benefits of stadium projects can be
vastly overstated depending on the
assumptions made.
For example, in its analysis
of the new stadium being built for the
NFL’s Baltimore Ravens, the Maryland
Department of Business and Economic
Development estimated an annual
economic benefit to the Baltimore
metropolitan area of $111 million and
the creation of almost 1400 new jobs.
According to Leeds and von Allmen,
independent analysis found a much
smaller impact on annual income ($33
million) and jobs (534). In general,
independent studies by economists
suggest that the value of local multipliers is at most 1.25, less than one-half
of the value suggested in some impact
studies.
Because of the difficulties in
using “multiplier analysis” to assess
the economic impact of professional

First, some studies have compared the
growth rates of income or employment
in cities and metropolitan areas that
have teams with growth rates of these
variables in cities that do not have
teams. For example, in a 1994 study,
Robert Baade found no significant difference in per capita personal income
growth during the period 1958 to 1987
between metropolitan areas with major
league sports teams and those without.
Another way to measure
teams’ impact on the local economy
is to compare growth before and after
the acquisition of a new major league
team. In a 1997 study, Baade and
Sanderson looked at the impact on
employment and output in 10 metropolitan statistical areas (MSAs) that
had acquired new teams between
1958 and 1993. They found that while
certain sectors closely related to professional sports do show some employment gain, aggregate employment
shows little impact from the existence
of sports teams.
A final way is to measure the
impact of a specific team (such as the
Baltimore Orioles) on economic development in a specific location (Maryland). For example, in a 1997 study
Bruce Hamilton and Peter Kahn found
that even at Camden Yards — widely
believed to have been a good investment for Baltimore — public expen-

Business Review Q2 2004 9

diture cannot be justified on grounds
of local economic development. They
estimate that Maryland and its municipalities lose about $9 million annually
on Camden Yards.5 They report that
the stadium generates enough revenue
to cover capital and maintenance
costs, but under the conditions of the
lease, the team’s owners keep most of
this revenue.
Regardless of the method
used by independent researchers, the
bottom line is that subsidies to sports
teams appear to be much greater than
the economic benefits they generate
for cities. Findings such as these led
Siegfried and Zimbalist to conclude
that “few fields of empirical research
offer virtual unanimity of findings. Yet,
independent work on the economic
impact of stadiums and arenas has
uniformly found that there is no statistically significant positive correlation
between sports facility construction
and economic development.”
Moreover, economists have
pointed out that local spending related
to professional sporting events may
result in less spending on other recreational activities. While the attraction
of a new team to a city or the construction of a new stadium may lead
to entirely new spending in the local
economy, it’s more likely that much of
the local spending by fans is redirected
from activities occurring elsewhere in
the local economy. Since households
have limited budgets for and time to
spend on leisure activities, sporting
events may merely shift the timing

According to Hamilton and Kahn, the cost to
the Maryland Stadium Authority for operating
the stadium is approximately $20 million
annually ($14 million in real interest and
depreciation and $6 million in maintenance).
The Maryland Stadium Authority receives
approximately $6 million in rent annually from
the Orioles and another $5 million in admission
tax revenue; therefore, it incurs a deficit of
approximately $9 million per year.
5

10 Q2 2004 Business Review

and location of spending within the
metropolitan area but leave aggregate
spending unchanged.6
One exception would be if
sports events attracted a large number
of “out-of-town” fans, thus bringing
new spending into the region. According to Noll and Zimbalist, these types
of fans account for only 5 percent to

The subsidies granted to professional
sports teams, in some
sense, suggest that
civic leaders and
residents view
professional sports
teams as valued
assets of a city.
20 percent of all fans attending major
league sporting events. Siegfried
and Zimbalist point out that there is
considerable evidence that out-of-state
fans do not come to town because of
regular season sporting events. They
are in town for other reasons, such as
a business trip or a visit to family and
friends. Thus, if they had not attended
a regular season game, they would
have spent money on other types of
leisure activities the region has to offer.
These findings pose the question: Is there an economic justification for subsidizing professional sports
teams in an era in which local governments’ budgets are under intense
pressure and given the sizable opportunity cost associated with these types of
projects?

The shift in spending may be meaningful to
an area’s central city if sports fans who spend
money because they are attending games would
have patronized suburban establishments in the
absence of a game.
6

EXTERNAL BENEFITS
TO THE RESCUE
The subsidies granted to professional sports teams, in some sense,
suggest that civic leaders and residents view professional sports teams
as valued assets of a city. Frequently,
civic leaders speak of the intangible
benefits of hosting major league sports,
such as civic pride. A typical statement
expressing these sentiments comes
from Philadelphia’s mayor, John Street:
“We are incredibly fortunate to be
the home of great professional sports
franchises. They enrich our community, fortify our tax base, and provide
major support for the region’s future
economic growth. And then there are
the intangible benefits: These Phillies
[Philadelphia’s major league baseball
team], if we give them our full support,
will bring us together [and] solidify a
sense of community with civic pride as
they drive toward the pennant.”
Similarly, economists have
noted that professional sports teams
contribute to the quality of life in an
area by increasing the satisfaction or
happiness of residents in general, not
just those who attend games. As we
noted earlier, it’s likely that many city
residents get pleasure from the presence of local professional sports teams
even when they neither attend games
nor pay for sports programming on
cable TV. Mayor Street’s words speak
to the “civic pride” that can result
from a successful franchise. Therefore, perhaps residents should think
of a professional sports team in the
way they think of a new art museum
or new symphony hall or, indeed, an
environmental resource such as an oldgrowth forest: It’s a commodity from
which they receive enjoyment just by
having it around.
The interest that professional
sports franchises generate suggests
they are far more important than these
other public goods. In the controver-

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sial words of Art Modell, owner of the
Cleveland Browns-Baltimore Ravens
franchise:7 “The pride and the presence of a professional football team is
far more important than 30 libraries”
[quoted in Leeds and von Allmen’s
book].
So teams create value for
local residents that owners of sports
franchises cannot capture. That is,
the team can’t charge a fan for just
being a fan. But that doesn’t make this
“external benefit” any less real. If the
value of these external benefits is large
enough, they alone might justify the
subsidies that local taxpayers grant to
teams. But because no one is excluded
from enjoying the external benefit
generated by local sports team, it becomes difficult to know how much this
matters to people, precisely because
you can’t charge them for the privilege
of being a fan. While these benefits
are hard to measure in dollar terms,
economists have made significant
strides in quantifying the value residents place on similar types of qualityof-life benefits, such as clean air, scenic
views, nearness to the ocean, or good
weather.
Measuring the External
Benefit. The value of a city’s special
traits, such as good weather or the
existence of professional sports teams,
is determined by what people are willing to pay in order to live there. This
amounts to the sum of what people are
willing to pay for each local character-

In validating the bonds to construct
Raymond James Stadium in Tampa, home to
the NFL Buccaneers, the Florida Supreme
Court described the public benefits of stadium
construction in Poe v. Hillsborough County. The
court explained: “[T]he Court finds that the
Buccaneers instill civic pride and camaraderie
into the community and that the Buccaneer
games and other stadium events also serve a
commendable public purpose by enhancing
the community image on a nationwide basis
and providing recreation, entertainment and
cultural activities to its citizens.”
7

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istic that either adds to or reduces the
quality of life in an area. The trick is
to determine the prices of these local
amenities, or traits, since they are not
bought and sold in markets.
Even though there is no
explicit price for local amenities such
as the presence of an NFL team, there
is an implicit price. Suppose you are
considering moving to either City A,
which has an NFL team, or City B,
which does not. Other than their NFL
status, these cities are alike in all other
aspects. Because the presence of an
NFL team is something you value, you

Teams create value
for local residents
that owners of sports
franchises cannot
capture.
are willing to pay some extra amount,
say, $1000, for having a team in your
city.
There are two ways in which
you could pay your extra $1000. One
is by bidding up land prices, and
ultimately rents, in City A relative to
City B. But it is not necessarily the
case that you will ultimately pay $1000
more to rent a house in City A. Part
of the cost of living in a city with an
NFL team could be paid in the form
of lower wages than you would have
accepted in City B. What must be true
is that rent and wage differentials sum
to $1000. Thus, the extent to which
land rent is higher and wages are lower
is the extent to which the amenity
value of an NFL team is capitalized
into local land markets and local labor
markets. Put differently, since NFL
status is the only difference between
the two cities, a household’s willingness to pay the extra $1000 to live in
City A must be due to the difference in
NFL status.

Measuring the Amenity
Value of the NFL. Economists have
developed statistical techniques to
measure the variation in rents and
wages that are attributable to each of
the local area’s traits, and economists
have used these estimated implicit
prices of amenities to rank areas according to their attractiveness. In our
2003 study, we argued that if people
like having professional sports teams in
their community, they are presumably
willing to pay for it — if not directly
through the purchase of season tickets,
then indirectly through an increased
willingness to pay for housing in the
area and an increased willingness to
accept marginally lower wages.
Bruce Hamilton and Peter
Kahn first broached the idea that differentials in local wages and rents may
provide a basis for valuing the social
benefit of sports teams. They argued
that while such differentials may exist,
correlations between the presence of
sports teams and wages and rents will
surely be confounded by the correlation between these variables and city
size (and perhaps other city-specific
characteristics).8 For example, because rents tend to increase with city
size and large cities tend to host NFL
teams, isolating the effects of an NFL
team’s presence on rents may be difficult.
In our study we confronted
this issue in a number of ways. We
focused our attention on NFL football
franchises in the 1990s, since there
was movement and expansion of NFL
teams in both moderate-size cities
(Jacksonville, Nashville, and Charlotte) and exit of franchises in larger
metropolitan areas such as Los Angeles
and Houston, the nation’s second
and fifth largest metropolitan areas,

See also the article by Rappaport and
Wilkerson.
8

Business Review Q2 2004 11

respectively. We assume that the
movement and expansions will weaken
the correlation between city size and
NFL teams sufficiently to facilitate
estimation of an NFL effect. Still, only
eight of the 32 cities had a change in
their NFL status between 1993 and
1999, the period of our study, making
it hard to identify an NFL effect in
local wages and rents.
In addition to looking at the
recent movement to moderate-size
cities, we focused our attention on
NFL football franchises, for two more
obvious reasons. The first is the preeminent attention the NFL receives
among all sports in the United States.
If any professional sport generates a
measurable differential in wages and
rents across cities, football is likely
to be the one. Moreover, the most
serious rival for that attention, Major
League Baseball, has had very little
expansion in recent years and no franchise movements since the early 1970s.
The NFL, on the other hand, has had
a bit more expansion and substantially
more franchise movement.
Perhaps more important, the
location of NFL franchises probably
has less to do with city-specific characteristics, such as population size and
growth, than in any other major sports
league. Most of an NFL franchise’s
revenue comes from an egalitarian
split of the national TV contracts, and
even locally generated stadium ticket
revenue is split more equitably (60 percent to the home team, 40 percent to
the visiting team) than in other sports
leagues. In contrast, baseball team
revenue is far more heavily weighted
toward local sources, particularly local
TV contracts.
In our study, we estimated the
change in rents and wages resulting
from a change in NFL status between
1993 and 1999. We estimated two
equations: one for wages and another
for rents. We found that the presence

12 Q2 2004 Business Review

of an NFL team raises annual rents,
on average, 8 percent. We also found
that wages were about 2 percent lower
in cities that host an NFL team, but
the differential was not statistically
significant. Perhaps the demand for
labor adjusts more rapidly than the
supply of housing, and this more rapid
adjustment tends to ameliorate the
effect on wages. In addition, if the
NFL amenity makes workers more
productive, the demand for labor could
also increase, and the effect on wages
would be ambiguous. In what follows,
we will focus only on the rental
premium.9
Cost-Benefit Analysis.
Since the 53 cities in our sample had,
in 1999, an average monthly rent of
$500, the finding of an average rental
premium of 8 percent implies an NFL
amenity premium of about $40 a
month per housing unit, or $480 annually, on average, in cities hosting NFL

Our study uses regression analysis in which we
relate the level of rents and the level of wages
in a city in each of two years to whether the
city had an NFL franchise in 1993 or 1999.
We control for city-specific traits that did
not change between 1993 and 1999, such as
nearness to an ocean, and we controlled for
a variety of city characteristics that did vary
between the two years, such as city size, city
population growth, the rate of crime, local
fiscal variables, and so forth. In addition, we
also controlled for a large number of individual
housing characteristics, such as number of
rooms and age of the unit, and a random effect
that controls for individual characteristics that
do not vary over time. The implicit price of a
professional sports franchise is measured by
the coefficient of a dummy variable indicating
the presence of an NFL franchise in the
particular city and year. Given the existence
of city-specific traits, the identification of this
NFL effect comes from league expansion and
franchise movements into and out of cities over
the years between the two panel observations.
As indicated in this article, eight of these cities
had a change in NFL team status between 1993
and 1999. Six cities (Baltimore, Charlotte,
Jacksonville, Nashville, Oakland, and St. Louis)
did not have an NFL franchise in 1993 but had
gained one by 1999. Two cities (Houston and
Los Angeles) hosted an NFL team in 1993, but
not in 1999. Twenty-four cities hosted an NFL
team in both 1993 and 1999.
9

teams. In 1999, there were approximately 290,000 households in a typical
central city, so $480 per household
implies that the aggregate amenity
value to a city that hosts an NFL team
is, on average, about $139 million per
year (or about $184 per person).10
How do the estimates of the
amenity value of hosting an NFL team
compare with the subsidies? Earlier
we pointed out that James Quirk and
Rodney Fort calculated that the annual subsidy to professional sports teams,
including investment subsequent to
the original cost, averaged $20 million
in 1989 dollars (or $27 million in 1999
dollars).11 The annual quality-of-life
benefit of $139 million found in our
study is substantially larger than the
annual subsidy, suggesting that these
subsidies were good investments for
the typical city. Our study showed that
the quality-of-life benefit to households
easily exceeds the subsidies granted
in all cities that hosted an NFL team
during the 1990s.
Cost-Revenue Analysis.
While the finding that the aggregate
value of the quality-of-life benefit may
justify the subsidies is good news for
city residents, public officials may be
more concerned with the impact these
subsidies have on local budgets. Our
results suggest that team subsidies can
also potentially pass the cost-revenue
test. This means that if cities could effectively appropriate through taxation
the rise in property values that resulted

The average central city in our sample had a
population of 753,705 in 1999. According to the
Statistical Abstracts of the U.S., there were 2.6
people per household in 1999, suggesting there
are almost 290,000 households in a typical
central city.
10

Interestingly, in their 2000 study that
examined the 1995 budgets for eight cities,
Donald Alexander, William Kern, and Jon Neill
found an annual stadium subsidy in the range
of $22 million to $29 million, depending on the
city under consideration.
11

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from the local team’s existence, any
such subsidy has the potential to be
self-financing. This is because higher
rents imply higher housing prices for
cities that host NFL franchises. The
higher property values will lead to increased tax revenues for central cities
when properties are reassessed.
Consider our representative
city once again. In 1999, the median
price of a house across the cities in our
sample was $123,433. If 8 percent of
this value reflects an NFL premium in
these cities and if we use the average property tax rate of 1.75 percent,
available for 50 of the 53 cities in our
sample, that means the NFL premium
yields property tax revenue of just
under $173 per year per household.12
This could potentially be worth about
$50 million a year in tax revenue for
our representative city with 290,000
households if it hosted an NFL team.
The potential increase in property
tax revenue of $50 million associated
with hosting an NFL team is almost
twice as large as the $27 million annual subsidy reported by Quirk and
Fort, suggesting that, on average,
these subsidies are good investments
for cities. Those who benefit from
the team in terms of higher property
values would be paying for its subsidization. If the city could not effectively
design a property tax in this way, the
stadium subsidies would come out of
general funds. In that case, subsidies
may crowd out other expenditures that
may have even greater benefits. Thus,
our results do not constitute a blanket
endorsement for stadium subsidies.13
We found that the potential increase

We were limited to 50 of the 53 cities in
calculating the potential increase in property
tax revenue, since the property tax rate was not
available for three cities. The median house
price of $123,433 is based on the 50 cities for
which property tax rates are available.
12

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in property tax revenue exceeds the
known subsidies granted to NFL teams
in 22 of the 25 cities that provided
stadium subsidies (see Cost and Benefits
to Individual Cities).14
Other Studies. While these
estimates of the benefits may appear
large, they are broadly consistent with
estimates found in other studies that
have quantified the benefits for various
types of amenities. For example, Joseph
Gyourko and Joseph Tracy found that
the annual value for just one extra
sunny day is $7 per year per household,
and Glenn Blomquist, Mark Berger,
and John Hoehn found an annual
value of $12.15 Based on these studies,
Jordan Rappaport and Chad Wilkerson
estimated that a metropolitan area
with 2 million people should be willing
to pay between $14 million and $24
million a year for just one additional
sunny day. While direct comparisons
are always difficult, Rappaport and
Wilkerson’s numbers, along with ours,
suggest that the addition of an NFL
franchise makes up for a week or so of
cloudy days.
In their study, Rappaport
and Wilkerson also noted that cities’
aggressive bids to replace teams further
supports the view that the external
benefits associated with hosting an

The cost-revenue analysis we have presented
here is for an average, or representative, city. Of
course, the costs and revenue associated with
hosting an NFL team will differ widely across
cities.
13

The 8 percent increase in rents is an average
effect across the 53 cities comprising our
study. In addition, we assume that the effect
on rents is the same for cities that gain a team
as for those that lose one. In the long run, the
supply of housing may increase and rents and
housing prices may go up by less than the initial
increases. Still, the greater number of housing
units will lead to increased property tax revenue
without the need to reassess housing values for
tax purposes.
14

The annual values are expressed in 1999
dollars.
15

NFL team may exceed the cost of doing so. They point out that of the six
cities that have lost NFL teams since
1980, “all but Los Angeles subsequently allocated considerably more public
financing to attract a new NFL team
than it would have cost to keep their
old team.” For example, voters in St.
Louis approved $280 million in public
funds to build a new football stadium
after the Cardinals departed for Arizona in 1987. St. Louis voters declined
to allocate $120 million toward a new
stadium when the Cardinals were playing in St. Louis.
In February 2000, Bruce
Johnson, Peter Groothuis, and John
Whitehead conducted a survey of
residents of the Pittsburgh metropolitan area, asking them how much they
would be willing to pay in higher taxes
to keep the NHL Pittsburgh Penguins
from leaving the city.16 The average
response was $5.57 per household per
year. Since there are almost 960,000
households in the Pittsburgh metro
area, Johnson and his co-authors
report that this gives an aggregate
quality-of-life value of almost $5.2 million per year — a present value of $66
million if we use an 8 percent interest
rate and assume a stadium life of 30
years.
According to Rappaport
and Wilkerson, between 1994 and
2000, the average public contribution
to NBA/NHL sports arenas was $84
million. The quality-of-life-benefit of
$66 million represents only about 80
percent of the average subsidy. While
the $5.2 million annual quality-of-life
benefit associated with hosting the

At the time of the survey there was some
concern that the Penguins could not survive in
Pittsburgh. The Penguins declared bankruptcy
in October 1998. In addition, they continue to
play in the oldest arena in professional hockey,
and Pittsburgh is a relatively small market.
16

Business Review Q2 2004 13

Costs and Benefits to Individual Cities

T

he cost-benefit analysis reported in the
text is for a representative, or average,
city used in our 2003 study. Obviously,
the analysis will differ dramatically
across cities. Three things will affect
the potential increase in property tax
revenue for a given city: the increase in property values
(actually in assessed property values), the number of
housing units, and the property tax rate. Obviously,
property tax revenue will increase with all three variables.
The table gives the present value of the potential increase in property tax revenue, assuming that
the median price of housing reflects either an 8 percent
premium in cities that currently host an NFL team or a
similar increase in housing values in cities that do not
currently host a team. Recall that the 8 percent housing price premium is an average across cities, and this
premium may be somewhat larger or somewhat smaller
in any particular city. In addition, reassessment practices
are not uniform across cities, and these conventions will
also influence the potential increase in property tax revenue that comes from hosting an NFL team. The values
shown in the second column of the table assume that the
median house value in each city has been reassessed to
reflect the 8 percent NFL premium.*
The table shows the cities ranked in terms of
the present value of the potential increase in property
tax revenue, based on a 6 percent interest rate and a
stadium life of 30 years. The present value of the potential increase in property tax revenue is largest in New
York City: more than $12 billion. Second largest is Los
Angeles, at $3.6 billion, underscoring the need to have
an NFL team in the area. Among cities that host an NFL
team, the present value of the potential increase in property tax revenue is smallest in St. Louis: $140.6 million.
The final column of the table shows all sources
of public subsidies (state and local) provided to NFL

teams for the construction of new stadiums in 1999
dollars, obtained from the National Conference of State
Legislators, in an April 1998 report called “Playing the
Stadium Game.” The subsidy exceeds the present value
of the potential increase in property tax revenue in
only three of the 25 cities that provided subsidies (New
Orleans, Pittsburgh, and St. Louis). In Cincinnati and
Kansas City, the present value of the potential increase
in property tax revenue is only somewhat larger than the
subsidy.
The escalating costs of recent stadium construction suggest that the average subsidy has surely grown
over time, potentially putting more cities on the unfavorable side of the cost-revenue analysis. In the 1970s, cities
contained stadium costs by building stadiums that were
used for both baseball and football. Today, stadiums are
dedicated to single use and include more costly features,
such as luxury boxes and skyboxes. For example, Three
Rivers Stadium in Pittsburgh, which opened in September 1970, cost $159 million in current dollars and
was home to both the NFL Steelers and the NL Pirates.
Heinz Field, which opened in August 2001, cost $281million and is home to the Steelers only. The Pirates play in
PNC Park, which opened in the spring of 2001 and cost
$216 million. Together these two parks cost almost $500
million to construct, with state and local governments
footing two-thirds of the cost.
In 1999, recognizing the increasing cost of
stadiums, the state of Pennsylvania created the Redevelopment Assistance Fund to finance the four stadiums in
Philadelphia and Pittsburgh, as well as the Giant Center
in Hershey and other sports and arts facilities. The state
capped its contribution at no more than one-third of the
costs. Despite the escalation in the cost of stadiums, our
findings suggest that team subsidies can potentially pass
the cost-revenue test for the vast majority of cities that
provide these subsidies.

For any given city, we assumed that an 8 percent increase in rents resulting from the NFL premium also leads to an 8 percent increase in housing
prices.
*

14 Q2 2004 Business Review

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TABLE
Potential Cost and Benefit to Individual Cities for Hosting an NFL Team
(millions of 1999 dollars)

City
New York
Los Angeles
Chicago
San Francisco
Houston
San Jose
San Diego
Seattle
Dallas
Philadelphia
Detroit
Austin
Phoenix
Boston
Milwaukee
Washington
Jacksonville
Columbus
Baltimore
Nashville-Davidson
Atlanta
Oakland
Miami
Indianapolis
Fort Worth

Value of the
Potential Increase
in Property Taxesa
12254.5
3629.3
3037.1
2414.9
1619.5
1326.2
1205.3
1107.6
990.0
867.0
804.8
720.9
670.7
607.1
546.9
501.5
475.7
474.1
447.9
446.7
430.0
422.9
417.9
416.3
395.2

Subsidiesb
219.5c
21.9
138.3
166.7
134.5
330.8
143.9
205.5
172.4
5.7
0.0
105.7
132.8
204.4
319.2
254.1
131.2d
0.0
76.1

City

Value of the
Potential Increase
in Property Taxesa

Denver
Cleveland
Memphis
New Orleans
Minneapolis
Las Vegas
Cincinnati
Sacramento
Raleigh
Fort Lauderdale
Newark
Oklahoma City
Salt Lake City
Rochester
Kansas City
Pittsburgh
Tampa
St. Louis
Orlando
San Antonio
Greensboro
Hartford
Providence
Grand Rapids
West Palm Beach

305.6
296.4
289.3
280.3
263.0
259.1
227.0
214.7
200.4
189.5
179.6
172.0
167.8
161.6
150.7
148.3
145.8
140.6
129.6
120.6
115.4
108.7
106.0
103.9
55.6

Subsidiesb
6.9

414.3
117.7
198.7

85.6
149.8
30.0
313.7

a

Based on an estimated increase in property tax revenue resulting from an 8 percent increase in median housing price. The annual stream of
property tax revenue is converted into present value terms using a 6 percent rate of discount and assuming a stadium life of 30 years.
b

Source: National Conference of State Legislators: www.ncsl.org/programs/fiscal/lfp106tb.htm. The source provided information only about
subsidies for cities that had an NFL team in 1995. (Los Angeles and Cleveland did not have teams that year.)
c

It’s not clear whether the money came from New Jersey or New York.

d

The cost of the original stadium was $131.2 million. Currently, $127.0 million of renovations are under way.

Penguins seems small, the external
benefit is likely to be much larger
for other professional sports, such as
football. In the United States, hockey
continues to have the smallest fan base
www.phil.frb.org

of the four major league sports. According to Rappaport and Wilkerson,
in 2001, nine of the 24 NHL teams (38
percent) did not have local network
television contracts. They also point

out that ratings for televised NHL
games are only half those of NBA
games.
The evidence provided in our
study combined with the high valuBusiness Review Q2 2004 15

ation placed on other quality-of-life
characteristics found in other studies and the increased willingness to
expand public funding for new NFL
stadiums, even after a city has lost a
team, substantially demonstrates that
the quality-of-life benefits associated
with hosting an NFL team may justify
the seemingly large public expenditures.
Still, assessing the benefits
and costs associated with sports teams
is a complex problem. Despite our
careful attempt to control for the many
local factors that could affect rents,
it’s possible that our estimate of the
implicit value of an NFL amenity is
overstated because we failed to control
for some factor that is positively correlated with both the presence of an
NFL team and rents. If our estimate of
the implicit price of an NFL amenity is
overstated, our estimate of the benefits
used in the cost-benefit analysis is
overstated.17 On the cost side, while
the dollar amount to build a stadium is

16 Q2 2004 Business Review

known, the opportunity cost of funds
may be harder to estimate.
CONCLUSION
Public officials and civic
boosters are often criticized for encouraging the provision of subsidies
to sports franchises. But if the subsidization we discuss in this article is

To see if our findings hold up under scrutiny,
we performed a variety of tests. For example,
we controlled for the presence or absence of
museums, another recreational amenity, and
found that this variable was not statistically
significant, regardless of whether the NFL
variable was included in or excluded from the
regression. We also found an 8 percent rental
premium associated with NFL status, regardless
of whether city population size was included in
or excluded from the regressions. In addition,
baseball added two teams during our sample
period (one in Phoenix and one in Tampa Bay)
that started playing in 1998. After controlling
for the addition of these new teams, we found
the quality-of-life premium associated with
hosting an NFL team fell slightly below the 8
percent effect on rents reported in this article.
The decline, however, does not appreciably
affect the findings and conclusions reported
here.
17

so politically unpopular, it is doubtful
that officials would be so much in favor
of it. But as we have argued, the debate
over public subsidies to stadiums has
focused on job and income creation
in the cities in which the facilities are
built. Although on that score stadium
subsidies appear to be a bad idea, the
range of potential effects goes beyond
those involving income and job creation. While large public expenditures
on the construction of new sports
stadiums are, and will continue to
be, controversial, our findings suggest
that sports are popular, and once the
quality-of-life benefits are included in
the calculus, public spending on new
stadiums may be a good investment for
central cities and their residents. This,
of course, is not the same thing as
recommending that cities immediately
decide to fund stadiums if only because
the opportunity cost of appropriating
such funds is the elimination of other,
possibly more worthy programs, such as
building new schools. BR

www.phil.frb.org

REFERENCES

Alexander, Donald, William Kern, and Jon
Neill. “Valuing the Consumption Benefits
from Professional Sports Franchises,”
Journal of Urban Economics, 48, 2000, pp.
321-37.

Carlino, Gerald A., and N. Edward
Coulson. “Compensating Differentials and
the Social Benefits of the NFL,” Federal
Reserve Bank of Philadelphia, Working
Paper 02-12/R, June 2003 (forthcoming in
Journal of Urban Economics).

Baade, Robert A. “”Stadiums, Professional
Sports, and Economic Development:
Assessing the Reality,” The Heartland
Institute, Heartland Policy Studies 62,
1994.

Gyourko, Joseph, and Joseph Tracy. “The
Structure of Local Public Finance and
the Quality of Life,” Journal of Political
Economy, 99, 1991, pp. 774-806.

Baade, Robert A., and Allen Sanderson.
“The Employment Effect of Teams and
Sports Facilities,” in Roger Noll and
Andrew Zimbalist, eds., Sports, Jobs
and Taxes. Washington, DC: Brookings
Institution Press, 1997, pp. 92-118.

Hamilton, Bruce W., and Peter Kahn.
“Baltimore’s Camden Yards Ballpark,” in
Roger Noll and Andrew Zimbalist, eds.,
Sports, Jobs and Taxes. Washington, DC:
Brookings Institution Press, 1997, pp.
245-81.

Bast, Joseph L. “Sports Stadium Madness:
Why It Started, How to Stop It,” The
Heartland Institute, Heartland Policy
Studies No. 85, February 1998.

Johnson, Bruce, Peter Groothuis, and John
Whitehead. “The Value of Public Goods
Generated by a Major League Sports
Team: The CVM Approach,” Journal of
Sports Economics, 2, 2001, pp. 6-21.

Blomquist, Glen, Mark Berger, and John
Hoehn. “New Estimates of the Quality of
Life in Urban Areas,” American Economic
Review, 78, 1988, pp. 89-107.
Campbell, Harrison S. “Professional Sports
and Urban Development: A Brief Review
of Issues and Studies,” Review of Regional
Studies, 29, 1999, pp. 272-92.

www.phil.frb.org

Keating, Raymond. “Sports Park: The
Costly Relationship Between Major League
Sports and Government,” Policy Analysis
No. 339, The Cato Institute, 1999.

Noll, Roger, and Andrew Zimbalist.
Sports, Jobs and Taxes. Washington, DC:
Brookings Institution Press, 1997.
Quirk, James, and Rodney Fort. Pay Dirt:
The Business of Professional Team Sports.
Princeton: Princeton University Press,
1992.
Rappaport, Jordan, and Chad Wilkerson
“What Are the Benefits of Hosting a
Major League Sports Franchise?” Federal
Reserve Bank of Kansas City Economic
Review, First Quarter 2001, pp. 55-86.
Rosentraub, Mark S. Major League Losers:
The Real Cost of Sports and Who’s Paying for
It. New York: Basic Books, 1997.
Siegfried, John, and Andrew Zimbalist.
“The Economics of Sports Facilities and
Their Communities,” Journal of Economic
Perspectives, 14, Summer 2000, pp. 95-114.
Street, John. “Go, Phillies,” Weekly Radio
Address, August 18, 2001.

Leeds, Michael, and Peter von Allmen.
The Economics of Sports. Boston: Addison
Wesley Publishers, 2002.

Business Review Q2 2004 17

The Evolution of the
Philadelphia Stock Exchange
BY JOHN P. CASKEY

T

he Philadelphia Stock Exchange (PHLX), the
nation’s oldest, has survived alongside much
larger and more liquid securities markets. How
has it managed to do so? In this article, John
Caskey explains some of the factors that account for the
PHLX’s long life and how their importance has varied over
time. Although Caskey focuses on the evolution of the
PHLX, he also profiles some of the seismic shifts in U.S.
securities markets in recent decades and illuminates the
role of the largely overlooked regional stock exchanges.

Conventional wisdom holds
that securities trading will shift to the
most liquid markets. After all, all else
being equal, people buying a security
would like to direct their orders to
the market with the largest number
of sellers, and people selling a security
would like to direct their orders to
the market with the largest number of
buyers. This maximizes the chances
that buyers and sellers get the best
price possible for their trades and that
they will complete their trades quickly.
Market professionals have
long acknowledged this effect and
have succinctly captured it in the

Visiting Scholar
John Caskey is
a professor
of economics
at Swarthmore
College,
Swarthmore,
Pennsylvania.
18 Q2 2004 Business Review

common phrase “liquidity attracts
liquidity.” This point has also been
recognized by academic economists,
who refer to it as an “order flow externality,” or more generally, a “network
externality.”1 It is an externality
because when one person directs an
order to a particular market, it benefits
other people trading in the same
market.
Over most of its long life, the
Philadelphia Stock Exchange (PHLX)
has survived alongside much larger and
more liquid securities markets. This
article explains how it managed to do
so despite order flow externalities.2
In brief, a number of factors played a

The book by Larry Harris contains an
excellent nontechnical discussion of order flow
externalities as well as competition among
centers for trading securities.
1

This article draws heavily on my working
paper, which contains a much more detailed
and more fully documented discussion of the
evolution of the PHLX.

role, including communication costs,
membership standards on dominant
exchanges, incentives to avoid fixed
trading commissions, a differentiation
of trading technologies, an unwillingness to permit markets to compete in
the trading of equity options, and the
development of new products that were
not traded on other markets.
The importance of these
factors has varied over time. While focusing on the evolution of the PHLX,
in the background, I will profile some
of the seismic shifts in U.S. securities
markets in recent decades and illuminate the role of the largely overlooked
regional stock exchanges.
PRE-1960: COMMUNICATION
COSTS AND NYSE MEMBERSHIP AND LISTING
STANDARDS
The Philadelphia Stock
Exchange dates its founding to 1790,
making it the country’s oldest stock
exchange.3 Although the New York
Stock Exchange (NYSE) was founded
two years later, it soon surpassed all
other stock exchanges in trading volume. By the late 1830s, for example,
the reported share volume on the
PHLX was about 14 percent of that on
the NYSE. Undoubtedly this reflected
the fact that by the 1830s, New York
City had become the major center for
commerce.
Over the 19th century, an increasing share of the trading in financial securities, especially for the largest

2

A stock exchange is a place where buyers and
sellers meet to trade securities (see the Glossary
on page 28).
3

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firms or public projects, migrated to
the NYSE because of the liquidity and
depth of that market. But relatively
high communication costs enabled
the regional exchanges to compete in
the first half of the century. Philadelphians could not quickly discover
the prices of securities trading in New
York, nor could they quickly transmit
orders to trade to that city. In other
words, communication costs offset the
tendency for the trading of securities
to concentrate in one market center,
and regional securities exchanges
flourished.
The development of the
telegraph in the 1850s and the ticker
tape in the 1870s began to change
this situation. The Philadelphia
Stock Exchange, and other regional
exchanges, responded by increasingly
listing and trading the securities of
firms that could not meet the listing
requirements of the NYSE, such as
an exchange-specified minimum aggregate market value of publicly held
shares or an exchange-specified minimum number of public shareholders.
The firms that were unable to meet
the NYSE listing requirements tended
to be younger and smaller firms little
known outside their local markets.
In addition, many states exempted
any company listed on an exchange,
including the regional exchanges, from
their “blue sky” laws. These laws offered some protection against fraud by
requiring that securities sold within a
state be registered with that state. The
exemption created a strong incentive
for firms that were unable to meet
NYSE listing standards but that did
not want to incur the costs of registering their securities in multiple states to
list on a regional exchange.
In the 1920s, the volume of
trading on the PHLX, as on many
other regional exchanges, increased
dramatically. In the subsequent stock
market crash and economic depres-

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sion, many of the firms listed on the
regional exchanges failed or were
absorbed in mergers, and trading
volume fell precipitously. In addition,
states changed their blue sky laws to
limit exemptions for securities listed
on regional exchanges, and the newly
created Securities and Exchange Commission (SEC) required the exchanges
to impose stricter listing requirements.
These developments greatly decreased
listings and trading volume on the

most cases, the only person buying or
selling a particular stock on the floor
of the exchange was the designated
specialist (see the Glossary). There
were no competing market makers on
the floor, and it was rare for brokers
representing buy and sell orders to
interact directly. The counterparty
to nearly all trades was the specialist.
This was true for the trading of unlisted securities on the other regional
exchanges as well (SEC, 1963, p. 932).

In the 1920s, the volume of trading on the
PHLX, as on many other regional exchanges,
increased dramatically.
regional exchanges. Gradually, the
over-the-counter (OTC) market (see
the Glossary) replaced the regional
exchanges as the location where
newly issued equities would trade and
become “seasoned” before the issuing
firm might seek a listing on the NYSE
or the American Stock Exchange
(AMEX).
As the regional exchanges
lost listings and trading volume, they
responded by starting to trade securities listed on the NYSE and the
AMEX. In 1931, for example, the
PHLX allowed trading to begin in any
security listed on the NYSE or the
AMEX. Since these securities were
generally not listed on the PHLX,
this was called “unlisted” trading. By
1961, only 1.2 percent of the dollar
volume of stock trading on the PHLX
came from the 88 stocks that had sole
listings on that exchange (SEC, 1963,
Table VIII-76). The vast majority of
stocks traded on the PHLX were ones
listed on the NYSE.
As the PHLX evolved into an
exchange that mainly traded equities
listed on the NYSE, it also evolved to
resemble more closely a dealer market
rather than an auction market. In

Over the 1950s and into the
1960s, brokers directed orders to the
PHLX rather than to the more liquid
NYSE for a variety of reasons. For
one, specialists on the PHLX would
generally set their prices to within
$0.125 of the price of the last reported
transaction on the NYSE, thereby
guaranteeing brokers that their prices
were nearly as good, and sometimes
as good, as those on the NYSE. This
practice was common on the regional
exchanges. In addition, small and
medium-size brokerage firms with their
headquarters in the mid-Atlantic region were often members of the PHLX
but not the NYSE, since membership
in the PHLX required far less capital.
If such firms received an order to trade
a security listed on the NYSE and they
directed it to the NYSE for execution,
they would have to pay the “public”
fixed commission paid by all nonmembers. Alternatively, if such firms
executed the order on the PHLX, they
could keep most of the public commission paid by their customers, paying
only a minor member commission to
the PHLX.
Firms that were sole members of the PHLX would direct some
Business Review Q2 2004 19

orders to the NYSE, either because
the trade was too large to be executed
quickly on the PHLX or because the
security was not traded on the PHLX.
Since a member’s cost of executing an
order on the NYSE was well below the
minimum public commission, members
competed aggressively to attract orders
from nonmembers. The NYSE did not
permit its members to discount public
commissions or offer cash rebates to
compete in attracting orders; however,
the members could reward nonmember
brokerage firms that were members of
a regional exchange by sending them
orders to execute on the regional
exchange. Such orders were referred
to as reciprocal order flow, and they
accounted for a significant share of the
trades directed to the PHLX and other
regional exchanges during the 1950s
and 1960s. In this way, the brokerage
firm that was a sole member of a regional exchange could indirectly earn
public commissions for handling orders
that it directed to an NYSE member.
With the decline of regional
brokerage firms and the rise of the
OTC market, between 1930 and 1960
most of the regional exchanges saw a
fairly consistent decline in their market
share, measured as a percentage of the
value of equities traded on all exchanges. Many regional exchanges closed
or were absorbed by other exchanges
during this era. The PHLX managed
to survive, but by the 1950s, its market
share in exchange-traded equities
hovered fairly consistently around 1
percent.4 This is despite its absorption
of the Baltimore Stock Exchange in
1949 and the Washington, D.C. Stock
Exchange in 1953.

1960-74: A NICHE CREATED BY
FIXED COMMISSIONS
The dollar volume of shares
traded on the PHLX grew rapidly
between 1960 and 1972 (Figure 1).5 By
1972, the market share of the PHLX
in exchange-traded equities had risen
to 2.5 percent. This rebound for the
PHLX was largely due to its ability to
exploit opportunities created by the
fixed commission rules.
As noted earlier, the NYSE
and the regional exchanges specified
minimum public commissions with

The data for all of the figures come from
the annual reports of the Philadelphia Stock
Exchange. Figures 1 and 2 present the data
using log scaling, also called ratio scaling,
since this allows a clearer picture of percentage
changes. For example, an increase in volume
from $100 to $1,000 represents the same
percentage change as an increase from $1,000
to $10,000.
5

no volume discounts. NYSE rules
prevented cash rebates by members
to nonmembers, but members could
share commissions with other members. In the early 1960s, the regional
exchanges had similar rules. At the
same time, the Investment Company
Act of 1940 placed a cap on the commissions that mutual funds could
pay retail sales organizations. Mutual
funds often wished to exceed this cap
in order to sweeten the incentive for
retail brokerage firms to sell shares
in their funds. They found several
ways to evade the cap. If a firm that
sold shares in the mutual fund was a
member of the NYSE, the mutual fund
could reward it by asking it to execute
trades on its behalf, paying the firm
the fixed commission for this service.
If the mutual fund preferred to use its
traditional NYSE-member firm for executing trades, it could direct that firm
to share its trading commission with
another NYSE-member firm that the

FIGURE 1
Volume of PHLX Equity Trades
in Millions of Dollars

Except where specifically indicated otherwise,
I measure an exchange’s market share using
the dollar volume of trading as a percentage of
overall exchange-based trading in dollars.
4

20 Q2 2004 Business Review

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mutual fund wished to reward. This
was known as a give-up.
But many small brokerage
firms that sold shares in mutual funds
to retail clients were not members of
the NYSE. If they were members of a
regional exchange, there was a way to
reward them for these sales. Assuming
the firm that traditionally executed
trades for the mutual fund was not
only a member of the NYSE but also
a member of the regional exchange in
which the smaller brokerage firm was a
member, the mutual fund could ask its
brokerage firm to execute some trades
on that regional exchange and share
commissions with the smaller firm. In
the early 1960s, such arrangements
accounted for a substantial share of
the order flow on regional exchanges
(SEC, 1963, p. 316-17). The regional
exchanges could handle the associated
large block trades because the trades
were generally pre-arranged off the
floor of the exchange.
In 1965, to attract even more
business based on mutual fund-directed give-ups, the PHLX changed
its rules to permit commissions to
be shared with brokerage firms that
were not members of the PHLX (1965
PHLX Annual Report). Some small
brokerage firms that sold shares in
mutual funds were not members of any
exchange, so mutual funds could direct
trading orders to the PHLX in order to
reward them.
The New York Stock Exchange was, of course, unhappy to see
trades that would normally be executed on its floor diverted to regional
exchanges. It lobbied the SEC to halt
all cash give-ups. The SEC agreed
with the NYSE that give-ups could
undermine fixed trading commissions
and the cap on mutual fund sales
commissions. In December 1968, all
commission splitting ended when the
exchanges agreed to ban the practice
under pressure from the SEC.

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The loss of institutional
business associated with the end of
give-ups could have been a major blow
to the PHLX. It was not, however,
because the PHLX instituted two new
measures to attract institutional trades.
In the 1960s, the NYSE did not allow
institutions active in a wide range of
activities to become members of the
exchange. Membership was open only
to entities whose primary purpose was
serving the public as brokers or market
makers. In addition, the NYSE did not

effectively received a discount from
public commissions. Not surprisingly,
this strategy was very successful for
the PHLX. As reported in the PHLX
Annual Report for 1969, 37 percent of
its stock trading volume came from
institutional trades in 1968 and 45
percent in 1969.8
Trading on the PHLX
boomed between the early 1960s and
1972 as the exchange employed these
means for institutional investors to
evade caps on mutual fund sales com-

In 1965, to attract even more business based
on mutual fund-directed give-ups, the PHLX
changed its rules to permit commissions to
be shared with brokerage firms that were not
members of the PHLX.
permit foreign-owned securities firms
to become members. This forced large
foreign banks, many of which actively
traded American securities on behalf
of clients, to pay the public commission to trade on the NYSE.
Prior to 1967, the PHLX had
similar policies. However, beginning
in 1967, the PHLX allowed securities
firms that were owned by mutual fund
companies, insurance companies, and
foreign-owned financial institutions to
become members.6 By early 1971, 39
such institutionally affiliated securities
firms had joined the PHLX and began
to trade on behalf of the institutions
that owned them.7 The institutional
investors still had to pay the minimum
public commission, but they paid it to
firms owned by the institutions themselves. In this way, the institutions

6

See the book by Joel Seligman.

7

See the Elkins Wetherill reference.

missions and minimum public trading
commissions. But by the late 1960s,
many influential policymakers and policy analysts had become very critical of
exchange-specified minimum trading
commissions, and they advocated price
liberalization. In April 1971, the SEC
approved negotiated commission rates
on orders above $500,000. This led
institutions to redirect some of their
large trades to the NYSE, since they
could negotiate discounted commissions. With this change, the PHLX’s
market share fell slightly between 1972
and 1974.

At this time, there was another interesting
development in the history of the PHLX. In
December 1968, in response to a fiscal crisis,
Philadelphia imposed a $0.05 per share stock
transfer tax for all transactions on the PHLX.
On January 2, 1969, the PHLX moved its
trading floor to an office building just across
the street from the city boundary to avoid the
tax. In February 1969, a court ruled that the
tax was illegal, and the PHLX moved its trading
floor back to its headquarters in the city.
8

Business Review Q2 2004 21

AFTER 1975: SURVIVAL
BY DIFFERENTIATION,
INNOVATION, AND UNIQUE
OPTION LISTINGS
Equities. In May 1975, all of
the exchanges eliminated minimum
public trading commissions. This led
to a rapid fall in commissions, especially for institutions with large trading
orders. Institutions that had been
directing some of their trades to the
PHLX to evade the fixed commissions
began to return to the NYSE because
of its superior liquidity and price competition.
The deregulation of brokerage
commissions also
led to the rise of
“discount” brokerage firms that
charged low fees
for providing basic retail trading
services. Since
they charged
low commissions
for handling
the trades, they
had to execute
these trades at a
very low cost in
order to make a
profit. Since the profit on each trade
was small, they sought to handle a
high volume of retail trades. The
discount brokers therefore valued fast
and reliable executions of their trades
more than they valued a time-consuming search for the best possible price.
Discount brokers argued that, in most
cases, their customers gained more
from low commissions than they would
from the slightly improved prices they
might get from slower executions.
The PHLX responded to the
changes that diminished its order flow
from institutions by developing systems
to meet the needs of the discount
brokers. In other words, it hoped to
overcome the order flow externality by

22 Q2 2004 Business Review

offering a trading system that was intentionally differentiated from that of
the NYSE and designed to better meet
the needs of a subset of traders.
To attract the order flow from
the emerging discount brokers, the
PHLX had to offer automated, reliable
executions at prices close to the best
prices available anywhere. To do so, in
1975 the PHLX introduced a computerized order-handling and execution
system called PACE. PACE would
route a retail order to the proper specialist. Orders that met predetermined
criteria could be executed automatically by the specialist. The specialist

would frequently guarantee that the
price of the trade would match that
of the best bid or offer quoted on any
other exchange. As they bought and
sold shares, the specialists hoped to
profit from the spread between the bid
and ask prices.
Matching the best quoted bid
or offer shown on other exchanges did
not necessarily mean that orders sent
to a PHLX specialist received as favorable a price as they might have, had
the order gone to the NYSE. Often,
competitive bidding on the floor of the
NYSE would lead to price improvements over the best quoted price. Such
price improvements were infrequent
on the regional exchanges, since their

specialists rarely faced competition on
their floors.
Partly in response to the automation of retail order flow by several
of the regional exchanges and third
market dealers, the NYSE also moved
to automate much of its retail order
flow. But for many years its system
had built-in delays to allow competing bids or offers from the floor of the
exchange. PACE did not have this
feature, making its system faster. PACE
succeeded in attracting a new flow of
retail orders to the PHLX, but the exchange continued to lose market share
as large institutional orders returned
to the NYSE following the 1975
deregulation of
fixed trading commissions.
As noted
earlier, specialists
on the regional
exchanges and
OTC dealers
competed with
each other to
attract retail
order flow since
they could profit
from the spread
between the bid and ask price. Not
surprisingly, in competing for this
order flow, specialists on the regional
exchanges and OTC dealers began to
offer financial incentives to brokerage
firms that were willing to direct orders
to them. This became known as payment for order flow. It is not clear who
initiated the practice and when, but by
the mid-1980s, there were reports that
the practice was widespread.9 Discount
brokers, who were competing with
each other to charge the lowest trading
commission, were particularly likely to
seek payments for order flow. These
See the article by Jane Sasseen, and Securities
Week, February 17, 1986.
9

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payments enabled them to cover their
operating costs by means other than
commissions. Many people took a dim
view of payment for order flow out of
concern that it could lead brokers to
direct trades on the basis of the payments rather than their clients’ best
interests.
Over most of the 1980s and
1990s, the PHLX saw the volume of
its equity trading grow, as did all stock
exchanges in the generally booming
markets. But for the management of
the PHLX and its traders, there were
also worrying trends. During this era,
the PHLX slowly lost market share. In
1980, the PHLX handled 1.6 percent
of the dollar value of stocks traded on
exchanges. By 1999, this had declined
to 0.65 percent. In addition, the
per-trade profit margins of the specialists declined as competitive pressures
forced them to pay to attract orders.
Plus spreads had narrowed because
of the move to pricing stocks to the
penny, rather than in fractions of a dollar, by 2001. Not only did the PHLX
specialists compete with specialists on
other exchanges for orders, but in late
2001, the PHLX also permitted more
than one specialist to be designated for
a stock, leading to potential competition within the exchange for orders.
Options. By 2001, however,
the PHLX was trading more than just
stocks. In June 1975, the PHLX began
to trade options on equities.10 It was
the third exchange to do so. The Chicago Board Options Exchange (CBOE)
had pioneered this path when it began
to trade stock options in April 1973.
In January 1975, the American Stock
Exchange became the second exchange
to trade equity options. It was followed
shortly afterward by the PHLX and the

A stock option gives the purchaser the right,
but not the obligation, to purchase or sell a
stock at a specified price on or before a specified
date.
10

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Pacific Stock Exchange. These later
entrants could overcome the order
flow externality because the exchanges
generally did not trade options traded
on another exchange.
When the PHLX introduced
options trading, it started on a limited
basis and expanded slowly over time.
The main reason that the PHLX was
slow to add new equity options was
that the CBOE and the AMEX had already listed the most desirable options

Over most of the
1980s and 1990s, the
PHLX saw the volume
of its equity trading
grow, as did all stock
exchanges in the
generally booming
markets.
by the time the PHLX began to look
for listings. Prior to 1977, although
there was no rule that prevented the
exchanges from doing so, the exchanges rarely listed options contracts
that were already traded on another
exchange.
As I discuss below, people later charged that the options exchanges
did not list each other’s options because of an implicit agreement to limit
competition among the exchanges. In
addition, the SEC and the exchanges
expressed concerns about multiple
listing of options contracts, since, unlike the equity exchanges, the options
exchanges were not “linked”: that is,
there was no organized system to tell
traders instantly on one exchange
about the quoted bid and offer prices
and volumes on other exchanges.
Furthermore, there was no process
to ensure that an order directed to

one exchange would not trade at a
price less favorable than the quote on
another exchange. The SEC worried
that public investors might be taken
advantage of in such “fragmented”
markets.
In 1977, the SEC conveyed
its concerns about market fragmentation by placing a moratorium on the
listing of new equity options while it
studied the options market. In June
1980, the SEC initiated a lottery for
allocating the right to trade any new
options on equities. Under this system,
the exchanges would let the SEC know
which equity options they wished to
list. The SEC then used a lottery to allocate the exclusive right to trade these
options to specific exchanges.
Under the SEC lottery system, the flow of option trades to the
exchanges depended on their ability
to attract business for the options they
had listed prior to the moratorium of
1977 and their luck in obtaining the
right to list desirable equity options
through the lottery. By these measures,
the PHLX did well. The market share
that the PHLX had in equity options
hovered around 3 percent between
1976 and 1978. During this period, the
CBOE, with its first-mover advantage,
had over 70 percent of the market.
The AMEX’s share hovered around 20
percent.
But the rapid growth in
equity option trades on the PHLX between 1978 and 1983 led to a tripling
of its market share (Figure 2). By 1983,
it had almost 9 percent of the overall
volume of equity option trades on exchanges. This created bustling activity
on the options floor because unlike the
equity floor, it was active with market
makers trading for their own accounts
alongside brokers and specialists. In
addition, in 1983, the PHLX began to
trade options on stock indexes. Over
time, these would become a significant
part of its options business.

Business Review Q2 2004 23

FIGURE 2
Volume of PHLX Equity Options Trades
in Millions of Dollars

Reportedly, a substantial
share of option orders in the 1980s
came from individuals and institutions speculating on possible takeover
targets. The PHLX, along with other
options exchanges, experienced a
slump in the volume of options trading between 1990 and 1992. This is
commonly attributed to the end of
the corporate takeover era associated
with the 1990 failure of the investment bank Drexel Burnham and the
creation of more effective corporate
takeover defenses.
Beginning in 1996, there
was a renewed boom in equity option
trading, much of which represented
speculation or hedging in the stocks
of high-flying technology companies. Since many of these firms were
relatively young, the CBOE and the
AMEX had not generally listed options
on their stocks prior to the entry of
the PHLX into options trading. Thus,
the PHLX had almost as substantial

24 Q2 2004 Business Review

a listing of options on the stocks of
these firms as did any other exchange.
When the boom began, the PHLX was
well positioned to participate. Whether
measured in absolute trading volume
or market share, between 1996 and
1998, the PHLX saw rapid growth in
trading on its equity options floor.
Throughout the 1980s and
into the 1990s, the system of listing an
equity option on only one exchange
was constantly threatened. While it
held the lotteries, the SEC pressured
the options exchanges to create a linkage system. But the options exchanges
failed to do so. Frustrated, the SEC
decided to end the exchanges’
monopolies in options listings.
The SEC took an incremental
approach. In 1985, it decided that the
right to trade options on OTC stocks
would not be allocated through a lottery. These options could be listed on
multiple exchanges. In January 1990,
the SEC ended its lottery system for

allocating options on exchange-listed
stocks. The SEC ruled that henceforth
any options listed for the first time on
an exchange could be listed on another
exchange.
These changes in policy had
only modest effects. By the mid-1990s
all restrictions on multiple listings
had been lifted, but the exchanges
still chose not to list options that had
been allocated to other exchanges
under the lottery system. In mid-1999,
about 60 percent of equity options
still traded on only one exchange, and
these included most of the more active
options.11 The PHLX, for example,
was the only exchange to trade options
in Dell computers prior to late 1999.
This was an extremely active option
— it alone accounted for 30 to 50 percent of the volume in equity options
on the PHLX during much of 1999.
By 1999, two developments
finally led to the breakdown of the
practice of listing equity options
contracts on only one exchange. First,
in 1998, several large securities firms
announced that they were investing
in the creation of an all-electronic
options exchange, to be known as the
International Securities Exchange
(ISE). The backers of the ISE also
announced that this exchange would
trade the most active options contracts
traded on other exchanges. In other
words, it planned to break the monopolies that the exchanges had enjoyed
in many options listings. Second, the
SEC and the U.S. Justice Department
charged that there was a “gentleman’s
agreement” among the exchanges not
to compete in equity options, and they
filed lawsuits against the exchanges.
By late 1999, the litigation
threat and the threat by the ISE to
list other exchanges’ options contracts

11

Financial Times, August 19, 1999, p. 28.

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finally had the result the SEC desired. In August 1999, the CBOE and
AMEX broke the alleged gentleman’s
agreement when they began to trade
options in Dell computers. They immediately attracted a significant share
of the Dell order flow away from the
PHLX. Not surprisingly, the PHLX
retaliated by listing several of the most
actively traded options listed on the
CBOE and AMEX.12
By early 2000, the four
options exchanges (CBOE, AMEX,
PHLX, and Pacific Stock Exchange
[PSE]) were increasingly listing the
options contracts that were active on
other exchanges. This competition
became even more heated when the
ISE options exchange opened for business in May 2000. As its backers had
pledged, it listed the most active options contracts from other exchanges.
Many people had argued that
multiple listing of options contracts
might be particularly damaging to the
PHLX, since it had a relatively small
market share and depended heavily
on a small number of active options
contracts. Contrary to these concerns,
the move to multiple listings benefited
the PHLX in the near term, partly
because of the way the PHLX managed it. When the CBOE and the
AMEX began to trade the Dell options
that were the backbone of the PHLX
in the late 1990s, the PHLX immediately retaliated by permitting several
of its specialists to begin trading some
of the options contracts from other
exchanges.
After that, however, the
PHLX proceeded at a more deliberate
pace. The exchange would announce
plans to trade an options contract
active on another exchange. But
rather than allocating the specialist

12

New York Times, August 24, 1999, p. C3.

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position to one of the firms already
active on the PHLX, it would offer
it to a large specialist operation that
had not previously traded on the
PHLX. In this way, the PHLX used
the opportunity to list desirable new
options contracts to entice the largest
and best capitalized specialist firms to
become active on the PHLX. Since
these firms could attract a high volume
of order flow, this brought new orders
to the floor of the PHLX.

Although the PHLX
demonstrated
foresight in moving
relatively early to
trade equity options,
it cannot claim to
have pioneered this
development.
As the exchanges competed
for each other’s order flow, it is perhaps
not surprising that the specialists on
the various options exchanges began
to pay for order flow.13 In July 2000,
the CBOE escalated this competition
by instituting a system that effectively
taxed all its specialists and market
makers to raise funds for order flow
payments. In August 2000, the
PHLX retaliated, instituting a system
similar to that of the CBOE but with
even higher fees on its specialists and
market makers and higher order flow
payments. This policy, along with the
increasing presence of large specialist
firms trading on the PHLX, helped
feed a boom in PHLX order flow in
late 2000 and early 2001. Between mid

13

Wall Street Letter, October 25, 1999.

2001 and late 2003, the CBOE, the
PHLX, and the AMEX stopped their
exchange-sponsored payment for order
flow systems. But they re-instituted
them as they lost market share to
the PSE and the ISE, which had
maintained their systems.
Currency Options.
Although the PHLX demonstrated
foresight in moving relatively early to
trade equity options, it cannot claim
to have pioneered this development. It
simply copied the innovation that the
CBOE had launched. In the case of
currency options, the PHLX was the
innovator.
In the late 1970s, there was a
huge spot market in foreign exchange
and active over-the-counter forward
and exchange-based futures markets.
There was no organized market for
foreign exchange options. A staff
member of the PHLX proposed that
the PHLX initiate trading options
on foreign currencies. Following his
suggestion, the PHLX started a long
and complicated process to obtain
approval from the SEC.
The PHLX opened its
currency options trading floor in
December 1982. Trading volume
started small and grew slowly but
steadily. Orders came from small-scale
speculators and from nonfinancial
and financial businesses, many based
in Europe, that used the exchange to
hedge risks. In the first year of trading,
the product appeared to be headed for
success.14
As the PHLX worked to
promote its fledgling currency options
market, large commercial banks and
investment banks increasingly began
to write tailor-made currency options
contracts for their corporate customers who were looking for better ways

14

Financial Times, October 6, 1983, p. I16.

Business Review Q2 2004 25

to hedge exchange-rate risks.15 The
banks hedged their own net risk exposures by taking appropriate positions
in the spot market or futures market,
by trading currency options with each
other in a developing OTC market,
and by trading options on the PHLX.
When the banks traded on the PHLX,
their orders were generally far larger
than the specialists and market makers could handle. The banks would
therefore use a broker to find another
institution, generally another bank,
willing to take the other side of the
trade. Once the two parties agreed
to the terms of the trade, they would
execute it on the floor of the exchange.
This practice enabled the exchange to
handle large trades smoothly, and it
contributed to a rapid growth in trading volume between 1983 and 1987
(Figure 3).
By mid-1984, the PHLX had
become the dominant trading center
for what could become a very large
market. Financial officers at large
and internationally active firms that
never knew Philadelphia had a stock
exchange were now acutely aware of
its presence.16 The success the PHLX
was having with currency options was
not lost on other exchanges, several of
which also began to trade them. The
CBOE, for example, began to trade
currency options two years after the
PHLX initiated the market. But it
could never overcome Philadelphia’s
first-mover advantage, and few traders
could see any reason to divert order
flow from the PHLX. In August 1987,
the CBOE withdrew from the business.
After several years of rapid
growth, the volume of trades on the
PHLX leveled off between 1987 and
1990. This was primarily due to the

16

Financial Times, October 2, 1984, p. I13.

15

American Banker, January 24, 1984, p. 1.

26 Q2 2004 Business Review

growth of the over-the-counter market
and the creation of exchange-rate
bands for the European currencies that
belonged to the European Monetary
System. The reduced volatility of
these currencies relative to each other
reduced the demand to hedge currency
risks and opportunities for speculation.
Nevertheless, this was a halcyon era
for many PHLX currency options traders, who reaped substantial profits from
market-making and speculating on the
floor of the exchange that dominated
currency options. Growth in trading volume resumed with the turmoil
among European exchange rates of the
early 1990s.17
After the peak in 1993, the
volume of trading in currency options
on the PHLX started a precipitous decline. By 2000, trading volume was so
low that currency options represented
an insignificant part of the business of

the exchange. This decline was mainly
caused by the continued growth of
the OTC market. Many corporations
preferred to hedge in the OTC market,
since banks would tailor contracts to
their specific needs. In addition, the
major international banks that had
provided much of the order flow to
the PHLX began to deal exclusively in
the OTC market. By the early 1990s,
this market was well developed, with
numerous very well-capitalized market
makers. As the market had developed
in the mid-1980s, the options contracts
that banks traded among each other
to hedge their net exposures became
standardized, adding to their liquidity.18
LESSONS FOR THE FUTURE
This brief account of the
evolution of the PHLX illustrates

Financial Times, December 11, 1985, p. III6. In
a report issued by the International Monetary
Fund, Garry Schinasi and co-authors (2000,
p. 64) describe the forces that led the OTC
market to displace much of the exchange-traded
derivatives market.
18

Philadelphia Inquirer, September 18, 1992,
p. A16.
17

FIGURE 3
Volume of PHLX Currency Options Traded

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two basic points that should be
kept in mind as financial markets
continue to evolve and policymakers
face difficult decisions about
setting or altering regulatory
parameters. First, competition among
financial institutions can promote
beneficial changes. With the fall in
communication costs in the mid-19th
century, stock exchanges in different
geographic regions began to compete
with each other. At various points,
the PHLX successfully competed for
order flow against the much larger
NYSE by listing firms unable to list
on the NYSE, by opening membership
to brokerage firms that could not
afford membership in the NYSE,
by altering its rules to attract trades
from institutions seeking to reward
brokerage firms for mutual fund sales
or to avoid the high fixed commissions
that prevailed prior to 1975, and by
offering fast automated executions
for discount brokers. The PHLX also
competed with larger exchanges by
creating a new product,
currency options, that
enabled firms to hedge
unwanted risks.
Although
some of these
competitive steps,
such as the lax
listing standards of
the 1920s, may have
had adverse social
implications, most were
probably beneficial
to the broader public
interest, for they
led to lower trading
commissions, faster
trading technologies,
and new mechanisms
to reduce risk. The
alleged gentleman’s
agreement among the
options exchanges not
to compete in the case

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of equity options contracts already
listed on an exchange illustrates the
second point: Competition among
financial institutions should not be
taken for granted, especially when
a small number of firms co-exist in
markets where regulations or other
factors create barriers to entry.
In the case of the PHLX, its
future is uncertain. In equity trading,
its market share of exchange-traded
equities had fallen to well under 1 percent by 2003. In the trading of equity
options, all of the floor-based exchanges must be worried by the rapid success
of the all-electronic ISE. By early 2003,
the ISE had displaced the CBOE as
the exchange with the highest volume
of equity options orders. In addition,
the Boston Stock Exchange, in partnership with others, launched its own
fully electronic options exchange in
February 2004.
The management of the
PHLX is acutely aware that the ex-

change is a small operator in a highly
competitive and increasingly automated trading environment.19 Management has stated that it sees strategic
partnerships, and perhaps mergers,
with automated trading platforms
and other exchanges as the best way
to continue to attract the order flow
and the technology that will enable
the PHLX to compete successfully in
the future. As part of this strategy, the
PHLX is in the process of converting
from a mutual institution to a for-profit
stock corporation. Until recently, all
securities exchanges in the U.S. were
set up as mutual organizations, meaning that the members of the exchange
were also its owners with the right

In recent testimony before Congress, the
chairman of the PHLX (see Frucher reference)
succinctly presented his views on the role of the
regional exchanges, the challenges facing the
PHLX, its business strategies, and the regulatory
environment in which it operates.
19

Business Review Q2 2004 27

to approve or disapprove of proposed
fundamental changes in an exchange’s
operations. If the exchange were a
for-profit corporation, its owners would
be its shareholders, who could include
individuals and organizations far
removed from the securities trading
business. PHLX management believes
that this organizational change will
enable the exchange to implement new
initiatives more quickly, facilitate the

formation of strategic relationships,
and strengthen the exchange’s financial position, since it will be able to tap
new sources of capital.20

The article by Roberta Karmel provides
a nice summary of the motivations for a
securities exchange to switch from a mutual
organizational structure and reviews the process
some exchanges in the U.S. have followed to
achieve this end.
20

Given the remarkable changes
that the PHLX — and securities
markets generally — has made over its
history, it would be foolish to forecast
the future of the nation’s oldest stock
exchange. Perhaps the only safe statement is that more changes, undoubtedly, lie ahead. BR

GLOSSARY

Securities Exchange: A securities exchange is a centralized physical or electronic location where all buyers and sellers
of a security can meet to trade using some type of auction process. Generally, the buyers and sellers must conduct their
trades through brokers who are members of the exchange. By centralizing securities trading and setting the trading
rules, securities exchanges reduce investors’ search costs (the cost of finding a counterparty for the trade) and transaction costs (the cost of exchanging the securities and the funds).
Over-the-Counter (OTC) Market: An over-the-counter securities market is a decentralized market consisting of designated dealers who quote prices at which they are willing to buy or sell a specified quantity of a security. By ensuring
that dealers always quote buy and sell prices, an organized OTC market provides continuous liquidity for small traders.
Broker: A broker conducts a trade on behalf of a public investor. The broker traditionally charges a commission for
handling the trade.
Specialist: A traditional specialist is responsible for maintaining well-functioning markets for a designated security
traded on an exchange. The specialist sometimes functions as a broker, directing incoming orders to the best counterparty. The specialist also maintains the limit order book, a list of orders with designated prices that cannot be filled at
current market prices. Finally, the specialist trades for his or her own account but is supposed to do so only when this
improves the market.
Market Maker: A market maker is anyone who quotes prices and quantities at which he or she is willing to transact. Many floor-based exchanges authorize market makers to operate on the floor, competing with each other and the
specialists and providing additional liquidity. Market makers, like specialists, hope to profit over time by always quoting
buying prices that are somewhat below their selling prices. This gap is called the spread.

28 Q2 2004 Business Review

www.phil.frb.org

REFERENCES

Caskey, John P. “The Evolution of the
Philadelphia Stock Exchange: 1964-2002,”
Federal Reserve Bank of Philadelphia
Working Paper 03-21, August 2003.
Frucher, Meyer S. Testimony before
the House Subcommittee on Capital
Markets, Insurance, and Government
Sponsored Enterprises, October 16, 2003.
Available at http://www.phlx.com/news/
pr2003/CEOletter.pdf.
Harris, Larry. Trading and Exchanges:
Market Microstructure for Practitioners.
(Oxford University Press: New York), 2003.
Karmel, Roberta S. “Motivations,
Mechanics and Models for Exchange
Demutualizations in the United States,” in
Shamshad Akhtar (ed.), Demutualization
of Stock Exchanges: Problems, Solutions, and
Case Studies. (Manila, Philippines: Asian
Development Bank), 2002.

www.phil.frb.org

Philadelphia Stock Exchange. Annual
Report, 1962 through 2002.
Sasseen, Jane. “Dirty Little Secret,” Forbes,
June 17, 1985, p. 203.
Seligman, Joel. The Transformation of
Wall Street: A History of the Securities
and Exchange Commission and Modern
Corporate Finance. (Boston: Houghton
Mifflin), 1982.

U.S. Securities and Exchange Commission.
Report of the Special Study of Securities
Markets of the Securities and Exchange
Commission. (Washington, DC: U.S.
Government Printing Office), 1963.
Wetherill, Elkins. Testimony in Securities
Industry Study, Part 1, hearing before
the Subcommittee on Securities of the
Committee on Banking, Housing, and
Urban Affairs, U.S. Senate, 92nd Congress,
September 21, 1971.

Schinasi, Garry J. et al. “Modern Banking
and OTC Derivatives Markets: The
Transformation of Global Finance and
Its Implications for Systemic Risk,”
Occasional Paper 203 (IMF: Washington,
DC), 2000.

Business Review Q2 2004 29

Deficit-Financed Tax Cuts
and Interest Rates
BY SYLVAIN LEDUC

P

roposals to lower taxes often meet with
opposition in Congress. One argument is
that lowering taxes without an equivalent fall
in government spending may lead to future
budget deficits, which will translate into higher long-term
interest rates and a lower level of income. In this article,
Sylvain Leduc examines the theoretical arguments under
which budget deficits lead to higher interest rates. He
also surveys empirical studies that used data on expected
budget deficits to document the possibility that increases
in future budget deficits are associated with higher real
long-term interest rates.

In 2001 and 2003, the Bush
administration proposed a significant
reduction in income taxes, which was
later adopted by Congress. In general,
reducing income taxes could be beneficial for the economy, since it raises the
incentive to work and leads to a higher
level of income. Yet, the proposal to
lower taxes was met with opposition.
One popular argument against lowering taxes is that without an equivalent

Sylvain Leduc is
a senior economist
in the Research
Department of the
Philadelphia Fed.

30 Q2 2004 Business Review

fall in government spending, a drop in
taxes may lead to future budget deficits, which will translate into higher
long-term interest rates and a lower
level of income.
Recently, the debate over
budget deficits’ impact on interest
rates has created a lot of turmoil in the
financial press. For instance, an editorial in the Wall Street Journal stated
that “the notion that deficits cause
interest rates to rise is a fiction argued
by Robert Rubin, President Clinton’s
Treasury secretary. There wasn’t any
empirical evidence to support this
argument when Mr. Rubin trotted it
out, and there’s still isn’t.” However,
in his testimony to Congress in February 2003, Alan Greenspan, Chairman
of the Federal Reserve Board, stated:
“There is no question that if deficits go

up, contrary to what some have said,
it does affect long-term interest rates;
it does have a negative impact on the
economy.”
Let’s examine the theoretical
arguments under which budget deficits
lead to higher interest rates and survey
empirical studies that used data on expected budget deficits to document the
possibility that increases in future budget deficits are associated with higher
real long-term interest rates.
THE DEBATE IS NOT NEW,
AS PRESIDENT REAGAN
WILL TELL YOU
Until recently, budget deficits
were closely associated with either economic downturns or military expenses
during periods of war (Figure 1).1 For
instance, World War I brought about a
cumulated budget deficit that reached
17 percent of GDP in 1919, but the
budget was brought back into surpluses
in the 1920s. Similarly, because of the
combined effects of the Great Depression in the 1930s and World War II,
the federal government posted deficits
from 1931 to 1946. The war effort
pushed the budget deficit to a level as
high as 30 percent of GDP in 1943.
The deficit also rose during the Korean
and Vietnam wars.
However, the close relationship between budget deficits and
periods of war or recessions came to
an abrupt end at the beginning of the
1980s. Indeed, the federal budget was

1
See the Business Review article by Lee
Ohanian on the consequences of financing wars
via increases in borrowing or taxes.

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in deficit throughout that decade and
most of the roaring 1990s, even though
this period coincided with the longest
peacetime expansion in U.S. history.
The break in the relationship occurred
in President Reagan’s first term in office. In 1981, the Republican Party
won the White House on a platform
to cut marginal income tax rates and
decrease nondefense government
spending. The underlying goal was
to diminish the economic distortion
associated with income taxation. By
lowering after-tax income, high marginal income tax rates might decrease
the incentive to work and hamper
economic performance. (This is often
referred to as supply-side economics,
since it emphasizes taxation’s effect on
the supply of goods in the economy. In
comparison, Keynesianism emphasizes
taxation’s impact on the demand for
goods in the economy.)
In Reagan’s first year in office, Congress adopted his proposal
to lower marginal tax rates. However,
lower revenues due to the tax cut and
the recession of 1981-82, combined

with the increase in defense spending,
contributed to the large budget deficits
throughout his first term. The budget
deficit reached 4 percent of GDP in
1982 and 6 percent of GDP in 1983.

According to the
standard theory, the
way a government
decides to finance a
given level of
expenditure has
important
repercussions for
the economy.
We have to go back to 1934, in the
midst of the Great Depression, to observe a level of peacetime budget deficits as high as those in the early 1980s.
Then, as now, a debate raged
over the consequences of the deficits.
For instance, the Council of Economic

FIGURE 1
Federal Budget Deficit (as a percent of GDP)

Advisers under the chairmanships of
Murray Weidenbaum and Martin Feldstein warned of the potential negative
impact of large (prospective) budget
deficits on the economy.2 The Council
of Economic Advisers and the OMB
would, in the end, convince President
Reagan to tackle the deficit issue by
raising taxes. But the U.S. would have
to wait until 1998 before the red ink
had all been spilled and the government’s finances returned briefly to the
black.
DEFICITS CROWD OUT
INVESTMENT
According to the standard
theory, the way a government decides
to finance a given level of expenditure
has important repercussions for the
economy. In particular, suppose the
government decides to lower income
taxes and starts financing its spending
by increasing the amount of funds it
borrows from the public. Consumers, according to this view, will save
only part of the rise in their after-tax
income and spend the remainder on
goods. Since the fall in government
savings is not fully matched by a rise in
private savings (since consumers spend
part of their tax cut), total savings in
the economy must fall. For economies
without access to (or that do not make
use of) foreign sources of funds, the
level of national savings — which is
the difference between output and
consumption — has important implications for the future level of output.
In today’s world of highly
developed financial markets, countries
often borrow and lend to each other.
For instance, a country may decide to

In the 1983 Economic Report of the President,
the Council notes that “a succession of large
budget deficits is likely to reduce substantially
the rate of capital formation,” since “high
budget deficits would cause interest rates to
rise.”
2

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Business Review Q2 2004 31

consume more than it produces by importing relatively more goods from other countries than it exports and paying
for them by borrowing in financial
markets. In economic terminology, the
current account would be in deficit,
while the capital account would be in
surplus.3 However, if an economy does
not have access to financial markets,
it will not be able to finance a trade
deficit — that is, import more than it
exports — by borrowing from other
countries. The only way to pay for
imports would be with revenues from
exports. In other words, net exports
would have to be zero.
To understand the implications of having zero net exports, we
need to make a small detour to the
world of accounting. The national
income and product accounts (NIPA)
divide the amount of output produced
in the economy into four broad categories: private consumption, government consumption, investment, and
net exports. In other words, the output
produced in any given period can
be used by the private sector or the
government, invested, or traded with
other countries. If the amount of goods
produced in the economy is larger than
the sum of investment and consumption by the private sector and the government, net exports will be positive
because the country would export the
output left over after accounting for
consumption and investment.
Because the difference between output and consumption (by
both the private sector and the government) is defined as national savings,
the national accounts tell us that
national savings must equal national

investment, whenever net exports are
zero. The important consequence for
a country without access to foreign
sources of funds (that is, net exports
are zero) is that if national savings fall
following a tax cut, investment must
also necessarily fall. This is achieved
through an increase in long-term interest rates that works to choke off investment and to bring it in line with the
lower level of national savings. And
the lower level of investment will be
reflected in lower levels of real GDP in
the future.
The outcome would be different for an economy with access to
foreign sources of funds. In this case,
an increase in the amount of funds
borrowed from foreigners would make
up for the fall in the level of national
savings. In other words, a country
could consume and invest more than it
produces by importing relatively more
goods from abroad than it exports
(that is, the current account would be
in deficit) and finance it by borrowing
funds from foreigners (that is, the capital account would be in surplus). De-

pending on how important the country
is in world financial markets, the demand for foreign funds may still push
interest rates upward. However, investment would not have to fall as a result.
In an economy with access to foreign
sources of funds, domestic investment
does not need to equal national savings. Because the country can borrow
from foreigners, domestic investment
can be financed out of national savings
or foreign sources of funds and via a
current account deficit.
In fact, at the same time that
the U.S. saw its budget deficit mushroom in the 1980s, it also saw a growing current account deficit (Figure 2).
However, even in the face of a growing current account deficit, Martin
Feldstein, chairman of the Council of
Economic Advisers at the time and a
proponent of the standard theory, continued to argue that the fall in investment would be very substantial. His
argument was based on a finding that
he and Charles Horioka uncovered
in the early 1980s. They found that
even though capital flows increased

FIGURE 2
Current Account (as a percent of GDP)

The current account is defined as the sum
of the trade balance — that is, exports minus
imports — and investment earnings abroad.
Typically, the latter is a very small fraction of
the current account. Therefore, the current
account is approximately equal to the trade
balance.
3

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substantially across countries, the fact
remained that domestic investment
was closely linked to domestic saving.
Indeed, Figure 3 shows that movements
in domestic investment closely mimic
those in national savings, the difference between the two being accounted
for by the current account.
In other words, countries did
not take advantage of foreign sources
of funds, since net exports and current account deficits/surpluses remain
relatively small. Therefore, a fall in
national savings stemming from a rise
in the budget deficit would very likely
be followed by a fall in investment and
capital formation. In a nutshell, the
economy would pay for the fall in taxes
today with a lower level of output in
the future.
WHAT COMES DOWN
MUST GO UP!
The main tenet of the standard theory is that national savings
falls following a shift in government
finance away from taxes toward borrowing. The reason is that consumers
will save only part of their tax cut and
spend what is left. But why would consumers save only part of the tax cut?
Why not save it all? After all, the government will have to repay the money
it borrowed some day, and it will have
to raise taxes to do so. A forwardlooking consumer will anticipate this
necessity and accurately predict that
his level of taxation will rise at some
later date. As a result, he may very well
decide to save all his current tax cut. If
this occurs, the fall in government savings would be matched by an equivalent increase in private savings, leaving
national savings constant. Since national savings does not change, interest rates would not have to rise and
thereby choke off investment. In the
case of an open economy —that is, one
that engages in international trade and
financial transactions — the amount of

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funds borrowed from foreigners would
not have to increase to keep the same
level of investment constant. Since the
level of borrowing from abroad remains
the same, a rise in the budget deficit
would also have no impact on the current account.
This approach to budget
deficits was first formulated by the
19th century English economist David
Ricardo, but it was rediscovered and
formalized by Robert Barro in a very
influential article published in 1974.
Economists refer to this view as Ricardian equivalence. This theory argues
that the way the government finances
a given level of expenditure (such as a
national army or a public road system)
is irrelevant. Taxing or borrowing will
lead to the same economic outcome
because people are forward looking.
One important assumption
buried underneath this elegant theory
is the way the government taxes individuals. The theory assumes that each
individual in the economy must pay
the same amount in taxes irrespective
of his income or of what he consumes.

In other words, taxes are paid in a
lump sum. Because taxes are not tied
to the level of labor or capital income
that an individual earns or to how
much he consumes, lump sum taxes do
not distort incentives to work, invest,
and consume.
In reality, to raise revenues,
governments most often resort to taxes
on labor and capital income or to taxes
on goods and services. One could then
be tempted to disregard the Ricardian
equivalence theory as a cute abstraction that is empirically flawed and,
therefore, not a serious guide for policymaking. Consequently, an increase
in the budget deficit would most likely
lead to a fall in national savings and to
an increase in interest rates.
However, according to Nobel
laureate Milton Friedman, theories
should not be judged on the plausibility of their assumptions, but rather on
the accuracy of their predictions. Is an
increase in budget deficits associated
with an increase in real long-term,
interest rates, as the standard theory
predicts? Or is the Ricardian equiva-

FIGURE 3
Savings and Investment (as a percent of GDP)

Business Review Q2 2004 33

lence theory, in which there is no link
between budget deficits and real longterm interest rates, a better representation of the world?
CURRENT BUDGET DEFICITS
AND INTEREST RATES
The Ricardian equivalence
theory argues that there should be
no positive relationship between
budget deficits and real long-term
interest rates, i.e., interest rates
adjusted for expected inflation.4
Proponents of this view often point
out that there is indeed no clear
relationship between these variables
in the data (Figure 4). There are
times, such as the early 1980s,
when the budget deficit and the real
long-term interest rate move in the
same direction: an increase in the
budget deficit as a percent of GDP is
associated with a rise in the real longterm interest rate. However, at other
times, an increase in the budget deficit
as a percent of GDP is associated with
a fall in the real long-term interest
rate. For instance, since the beginning
of 2000, the federal budget has gone
from a surplus of 2.3 percent of GDP
to a deficit of the same magnitude in
the first quarter of 2003. Yet, real longterm interest rates have fallen steadily
over the same period.
Note also that because the
level of national savings is unaffected by a rise in budget deficits
under the Ricardian equivalence
theory, a change in budget deficits is
not predicted to lead to a change in
the amount of funds borrowed from
abroad, and, therefore, the current account. In the early 1980s, opponents

of this theory often pointed out that
this prediction was contradicted by
the U.S. experience: the rise in budget
deficits at the time was accompanied
by a substantial increase in the current
account deficit. Indeed, the current
account deficit went from being ap-

Although they moved in opposite directions in the early 1980s, the budget
deficit and the current account tended
to be positively correlated between the
mid-1980s and the end of the 1990s,
before they once again started to drift
apart in 2000 (Figure 5).

The Ricardian equivalence theory argues
that there should be no positive relationship
between budget deficits and real long-term
interest rates, i.e., interest rates adjusted for
expected inflation.
proximately balanced at the start of
the 1980s to registering a deficit of
about 3.5 percent of GDP by 1987. Yet,
proponents of the Ricardian equivalence theory would point out that over
a longer period of time, the relationship between the budget deficit and
the current account is not that clear.

It therefore seems that, as
predicted by the Ricardian equivalence
theory, there is no clear relationship
between current budget deficits, on
the one hand, and interest rates (or
the current account), on the other.
However, interest rates are affected not
only by current budget deficits but also

FIGURE 4
Real Long-Term Interest Rate vs. Federal
Government Deficit (as a percent of GDP)

If we assume that the economy has access to
foreign sources of funds, Ricardian equivalence
also implies there should be no relationship
between the current account and real long-term
interest rates. Proponents of this theory often
point out that there is no clear relationship
between these two variables over long periods.
4

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by prospective ones. Accounting for
movements in prospective budget deficits turns out to be important for the
empirical relationship between budget
deficits and interest rates.
BUT THE FUTURE MATTERS
We have seen there is no clear
relationship between the current budget deficit and the real long-term interest rate. However, what matters for real
long-term interest rates is not so much
the current budget deficit, but what the
budget deficit is expected to be in the
future. A higher expected deficit implies that the government’s borrowing
needs will be higher in the future. The
standard theory would then predict a
higher (short-term) interest rate in the
future. But higher future short-term
interest rates must necessarily raise
long-term interest rates today.
To see this, suppose that instead of rising, long-term interest rates
stayed constant. An investor would
then be better off holding a sequence of

short-term bonds paying the short-term
interest rate in each period. Under
this scenario, investors currently holding long-term bonds would be better
off selling these assets and buying a
sequence of short-term bonds instead.
But this process would increase the
supply of long-term bonds in the mar-

What matters for real
long-term interest
rates is not so much
the current budget
deficit, but what the
budget deficit is
expected to be in the
future.
ket, causing their price to fall, and thus
drive current long-term interest rates
higher. This process would continue
until, at the margin, the return to
holding a long-term bond was equal

FIGURE 5
Current Account and Budget Deficits
(as a percent of GDP)

to the return from holding a sequence
of short-term bonds, according to the
expectations theory of the term structure
of interest rates.5
So, according to the standard
theory, higher expected budget deficits
lead to higher real long-term interest
rates. Is this theory supported by the
data?
PROSPECTIVE BUDGET
DEFICITS AND INTEREST
RATES
Although formal studies
testing the impact of current budget
deficits on interest rates found mixed
results (see the article by John Seater),
there seems to be a positive relationship between expected budget deficits
and interest rates. Indeed, previous
studies have highlighted the fact that
prospective budget deficits and interest
rates tend to move together.
Paul Wachtel and John Young
conducted the first study examining the impact of prospective budget
deficits on interest rates. They used
the federal budget forecasts (for up
to two years ahead) from the Office
of Management and Budget (OMB)
and the Congressional Budget Office
(CBO), over the period 1979 to 1986.
To capture the effect of an unanticipated movement in the prospective
deficit (what economists call a shock),
they used revisions in the OMB’s and
CBO’s budget forecasts of current fiscal years. If large future budget deficits
lead to higher interest rates, unanticipated announcements of such deficits
should lead financial markets to revise
interest rates up. Wachtel and Young
found that a $1 billion increase in the
CBO’s forecast of the federal budget
deficit for the current fiscal year led to

The term structure of interest rates refers to
the relationship among interest rates on bonds
with different terms of maturity.
5

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Business Review Q2 2004 35

an average 0.30-basis-point increase
in interest rates.6 Similarly, a $1 billion revision in the OMB’s forecast of
budget deficits pushes interest rates
up 0.18 basis point, on average. This
impact is significant. For instance,
in August 2003, the CBO revised its
forecast of budget deficits for the next
10 fiscal years that it initially made
in March 2003. In the spring of 2003,
the CBO forecast a surplus of $96 billion in 2010, which was revised to a
deficit of $145 billion in August 2003.
Other things being equal, Wachtel and
Young’s estimate would imply a rise of
72 basis points in interest rates.
Recently, Thomas Laubach
revisited the subject. Just as Wachtel
and Young did, Laubach used forecasts
of federal budget deficits from the
OMB and the CBO from 1976 to 2003.
One important difference between
these two studies is that Laubach used
forecasts with much longer horizons.
Instead of studying forecasts of budget
deficits two years in the future, he
concentrated on the impact of budget
deficits five years in the future.
There are good theoretical
reasons for using longer-term forecasts. The state of the business cycle
affects budget deficits. In recessions,
tax revenues decline because fewer
people are working. The fall in government revenues automatically raises
budget deficits. Moreover, the state of
the business cycle also affects interest
rates: they rise during expansions and
fall during recessions. Therefore, a
recession would tend to lower interest
rates at the same time that it raised the
budget deficit. Similarly, interest rates
would rise and the budget deficit would
fall during an expansion. Interest rates
and budget deficits should therefore be
negatively correlated along the business
cycle.

Yet, since the goal is to isolate
the impact of fiscal policy on interest
rates — such as a decision by Congress
to lower taxes, thus raising budget
deficits — we need to remove the
implicit negative correlation between
budget deficits and interest rates that
occurs over the business cycle. Using
longer-term forecasts is useful in accomplishing this goal, since the impact
of the business cycle is over after approximately two to three years. Indeed,
Laubach found that using long-term
forecasts is important. For instance,
he finds that a 1-percentage-point
increase in the projected deficit as a
fraction of GDP is associated with a
25-basis-point rise in long-term interest
rates, which is roughly twice as large as
the effect uncovered by Wachtel and
Young.7,8

Note that Wachtel and Young looked at the
effect of a $1 billion change in the forecast of
the budget deficit, whereas Laubach studied
the impact of a 1-percentage-point increase in
the forecast of the deficit as a percent of GDP.
However, in Wachtel and Young, a $1 billion
change in the budget deficit was roughly equal
to 0.025 percent of GDP. Thus, their study
would imply that a 1-percentage-point increase
in the projected deficit to GDP ratio would lead
interest rates to rise 12 basis points.
7

The reader should keep in mind an important
caveat to these analyses. Even though
prospective budget deficits and interest rates
are positively correlated, it does not necessarily
imply that an increase in prospective budget
deficits will cause interest rates to rise. The
reason is that both may be rising because of
movements in some other variables that remain
unaccounted for in the empirical analysis.
Prospective budget deficits are more likely to
cause interest rates to rise to the extent that
the impact of these other variables on budget
deficits and interest rates is taken into account
in the empirical work.
8

CONCLUSION
Are budget deficits associated
with an increase in long-term interest
rates? Recent empirical work shows
that they are, once we account for
the impact of expected future budget
deficits on current long-term interest
rates. Prospective budget deficits are
important because by lowering the expected level of future national savings,
they put upward pressure on expected
short-term interest rates. According
to the expectations theory of the term
structure of interest rates, an increase
in expected short-term interest rates
raises current long-term interest rates,
which can dampen investment and
lead to lower levels of real GDP in the
future.
The fact that a fall in national savings is associated with a rise
in interest rates is consistent with the
findings that, notwithstanding the
increasing globalization of financial
markets, national economies remain
less integrated than is usually imagined. Because domestic investment is
still mostly financed out of national
savings, an increase in future budget
deficits that lowers expected future national savings is linked to an increase
in interest rates that works to lower
domestic investment and reduce the
future level of output. BR

A basis point is one hundredth
of a percentage point.
6

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REFERENCES

Aiyagari, Rao S. “How Should Taxes Be
Set?” Federal Reserve Bank of Minneapolis
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Alesina, Alberto, and Guido Tabellini.
“A Positive Theory of Fiscal Deficits and
Government Debt,” Review of Economic
Studies, 57, 1990, pp. 403-14.
Barro, Robert J. “Are Government Bonds
Net Wealth?” Journal of Political Economy,
82, 1974, pp. 1095-1117.
Barro, Robert J. “On the Determination
of the Public Debt,” Journal of Political
Economy, 87, 1979, pp. 940-71.
Council of Economic Advisers. The
Economic Report of the President (1983).

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Feldstein, Martin, and Charles Horioka.
“Domestic Savings and International
Capital Flows,” Economic Journal, 90, 1980,
pp. 314-29.
Friedman, Milton. “What Every American
Wants,” Wall Street Journal, January 15,
2003.
Laubach, Thomas. “New Evidence on the
Interest Rate Effects of Budget Deficits and
Debt,” Board of Governors of the Federal
Reserve System Working Paper 2003-12.
Ohanian, Lee E. “How Capital Taxes
Harm Economic Growth: Britain Versus
the United States,” Federal Reserve Bank
of Philadelphia Business Review (July/
August 1997), pp. 17-27.

Persson, Torsten, and Lars E.O. Svensson.
“Why a Stubborn Conservative Would
Run a Deficit: Policy with TimeInconsistent Preferences,” Quarterly Journal
of Economics, 104, 1989, pp. 365-74.
Roberts, Paul C. “Mr. Feldstein’s Fiscal
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Seater, John J. “Ricardian Equivalence,”
Journal of Economic Literature, 31, 1993,
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Wachtel, Paul, and John Young. “Deficit
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