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The Regional

Economist

A Quarterly Review
of Business and
Economic Conditions
Vol. 17, No. 4
October 2009

The Federal Reserve Bank of St. Louis
C e n t r a l t o A m e r i c a’ s Ec o n o m y

TM

The
“Man-Cession”
of 2008-09
It’s Big, but It’s Not Great

c o n t e n t s

4
The Regional

3

Economist
october 2009

|

VOL. 17, NO. 4

10

The Regional Economist is published
quarterly by the Research and Public
Affairs departments of the Federal
Reserve Bank of St. Louis. It addresses
the national, international and regional
economic issues of the day, particularly
as they apply to states in the Eighth
Federal Reserve District. Views
expressed are not necessarily those
of the St. Louis Fed or of the Federal
Reserve System.
Please direct your comments to
Subhayu Bandyopadhyay at 314444-7425 or by e-mail at subhayu.
bandyopadhyay@stls.frb.org. You can
also write to him at the address below.
Submission of a letter to the editor
gives us the right to post it to our web
site and/or publish it in The Regional
Economist unless the writer states
otherwise. We reserve the right to edit
letters for clarity and length.

The “Man-Cession” of 2008-2009
By Howard J. Wall

That men are losing jobs at a much faster rate than women during
this recession isn’t a surprise. The pattern is typical. And it’s not
just the men in the hard hats who are out of a job—men in almost
all categories of work are being affected disproportionately.

President’s Message

19

More Freedom,
Less Terrorism

By Craig P. Aubuchon, Subhayu
Bandyopadhyay and Javed Younas
The root causes of terrorism might
not be poverty and lack of education, as many believe. Rather, the
lack of civil liberties, political rights
and the rule of law might be more
16
influential.

Deputy Director of Research
Cletus C. Coughlin

By Thomas A. Garrett

The simplest way to avoid another
devastating housing crash and
foreclosure crisis probably is to
reduce household borrowing and,
then, to keep it low.

21

c o mm u n i t y p r o f i l e
Alton, Ill.

12

Cap and Trade:
Economics and Politics
By Kevin L. Kliesen
A Fed economist reviews In Fed
We Trust: Ben Bernanke’s War
on the Great Panic, the new book
by David Wessel, a columnist for
The Wall Street Journal.

Art Director
Joni Williams

The Eighth Federal Reserve District

includes all of Arkansas, eastern
Missouri, southern Illinois and Indiana,
western Kentucky and Tennessee, and
northern Mississippi. The Eighth District
offices are in Little Rock, Louisville,
Memphis and St. Louis.

B o o k REv i e w
In Fed We Trust

Managing Editor
Al Stamborski

Single-copy subscriptions are free.
To subscribe, e-mail carol.a.musser
@stls.frb.org or sign up via www.
stlouisfed.org/publications. You can
also write to The Regional Economist,
Public Affairs Office, Federal Reserve
Bank of St. Louis, Box 442, St. Louis,
MO 63166.

D i s t r i c t Ov e r v i e w
Tax Collections Decline

By William Emmons

Senior Policy Adviser
Robert H. Rasche

Editor
Subhayu Bandyopadhyay

Housing’s Great Fall:
Avoiding a Repeat

In general, the recession is taking its toll on the collection of
sales tax, personal income tax
and corporate income tax in
the seven states of the Eighth
Federal Reserve District.

Director of Research
Christopher J. Waller

Director of Public Affairs
Robert J. Schenk

14

By Cletus C. Coughlin
and Lesli S. Ott
The anti-pollution program in
Congress contains desirable
economic features. But a key
component—an auction process
covering all permits for carbon
emissions—does not seem to be
politically viable.

By Susan C. Thomson

22

e c o n o my at a g l a n c e

23

re ader e xchange

This city on the Mississippi River
north of St. Louis has accepted
that its industrial heyday is over.
Civic leaders hope that their
ambitious efforts to redevelop
the riverfront will bring back
some of the glory.
cover illustration by greg hargreaves/
w w w.munrocampagna.com

2 The Regional Economist | October 2009

p r e s i d e n t ’ s

m e s s a g e

James Bullard, President and CEO
Federal Reserve Bank of St. Louis

Is the Rate of Homeownership Nearing a Bottom?

T

he housing crisis has been central to our
current recession. An economist at the
Federal Reserve Bank of St. Louis, Carlos
Garriga, has devoted much of his research to
understanding the intricacies of mortgage
markets and loan choices.
What insight might his research bring to
the current environment? To begin, he has
examined the evolution of homeownership
rates and their connection with mortgage
market innovations. For about a quarter of
a century, the homeownership rate hovered
around 64 percent. In 1966, it was at 63.5
percent. Twenty-seven years later, in 1993, it
had barely budged to 63.8 percent. However,
over the past 15 years, a significant change
occurred, largely the result of government
policy and innovations in mortgage markets.
Politicians pushed to increase the homeownership rate on the premise that homeowners are more likely to maintain their
property than a renter would. And, of course,
almost every version of the American dream
includes a house with a white picket fence.
In the early 1990s, the Federal Housing
Administration (FHA) started to offer mortgage products with low down payments. Prior
to this, most mortgage lenders required a 20
percent down payment on all new loans. The
rationale for the down payment was to ensure
that the home had enough equity to ward off
foreclosure if home prices were to fall substantially. To qualify for a low down payment,
homeowners had to buy lenders mortgage
insurance or private mortgage insurance.
In the late 1990s, conventional lending
became more sophisticated. To avoid mortgage insurance, lenders offered a second loan
(at a higher interest rate) for a portion of the
remaining loan amount. The advantage of
the combo, or piggyback, loan was that borrowers could increase their leverage at a lower
cost since mortgage interest payments could
be deducted on their income tax, whereas

mortgage insurance premiums were not
deductible until 2007. The homeownership
rate increased from 63.8 percent in early 1994
to 68 percent in 2002.
Over the following three years, the rate
increased to 69.2 percent, in the heart of the
housing boom. Over this period, subprime
lending took off and additional mortgage
products were introduced and became
popular. These included zero down-payment
loans, interest-only adjustable-rate mortgages
(ARMs) and payment-option ARMs. The last
loan type allowed borrowers flexible monthly
repayment strategies, including full amortization of principal with either zero or even
negative amortization.

“ A natural question is to
wonder whether the severity
of the price decline will force
additional homeowners out.”

The bottom soon fell out. Since the end of
2006, nationwide home prices have fallen by as
much as 30 percent. The homeownership rate
has been steadily declining, too, since then.
Through the second quarter of 2009, it was
down 1.5 percentage points, to 67.4 percent.
This decline reflects a rebalancing: Just as we
saw the homeownership rate increase by a little over one percentage point as new mortgage
products were introduced, we now see those
buyers exiting the market as that equity disappears. Assuming they could just “refinance
later,” they found themselves unable to make
payments as prices tanked. Additionally,
as Carlos recently discussed in the St. Louis
Fed’s National Economic Trends publication,

refinancing denials started to increase well
before the peak of the housing boom, suggesting that lenders were uncomfortable with the
values being assessed to homes.1
These borrowers obtained financing
through risky tools. If all borrowers who
could obtain financing through standard
financing options (i.e., not zero downpayment loans, interest-only loans, etc.) had
already entered the homeownership arena,
they would have already been captured
within the 2002 rate of 68 percent.
The homeownership rate is now down
below the 2002 level; it has remained at
roughly 67.5 percent for three quarters
(Q4 2008 through Q2 2009). Although further data are needed, this suggests the decline
might now have bottomed out, provided the
economic environment doesn’t pull down
otherwise well-positioned homeowners.
A natural question is to wonder whether
the severity of the price decline will force
additional homeowners out. During the 27
years that the homeownership rate hovered
around 64 percent, there were many price
fluctuations and yet no change in the ownership rate. The difference is that virtually no
homebuyer was highly leveraged; almost all
buyers had already paid at least 20 percent
of the purchase price of their home. Hence,
even as prices fell, homeowners were able to
“ride out” the storm.
Examining homeownership rates is one
small but interesting piece of the puzzle.
Government policy helped buoy the homeownership rate to historic highs, and risky
lending practices pushed it even higher.
Time will tell where the new equilibrium
rate will settle, but signs point to a near end
in the decline.
1

Garriga, Carlos. “Lending Standards in Mortgage Markets.” National Economic Trends, May 2009, p. 1. See
http://research.stlouisfed.org/publications/net/20090501
/cover.pdf.
The Regional Economist | www.stlouisfed.org 3

r e c e s s i o n

4 The Regional Economist | October 2009

The
of 2008-09
It’s Big, but It’s Not Great
By Howard J. Wall

keith negley/ w w w.munrocampagna.com

B

etween the fourth quarter of 2007, when the
current recession began, and the first quarter of
2009, men bore 78 percent of the job losses. Over
the same period, the unemployment rate for men
rose from 4.9 percent to 8.9 percent, while the rate
for women rose by only half as much, from 4.7 percent to 7.2 percent. As reported by economist Mark
Perry of the University of Michigan-Flint in his blog
Carpe Diem, this gap in unemployment rates has
no precedent during the post-war period. In light
of the disproportionate employment effects of the
recession on men, some commentators in the press
and elsewhere have labeled the current recession
a “man-cession” or even the “Great Man-Cession.”

The Regional Economist | www.stlouisfed.org 5

© HO/Reuters/Corbis

The 2009 recession has hit the construction
industry especially hard. By August, employment in
the construction industry had fallen by 19 percent
during the recession. In the picture above, workers
pave a portion of Route 101 in Exeter, N.H.

6 The Regional Economist | October 2009

The dominant explanation for this
phenomenon is that it follows from the
severity of the recession across industries.
According to Christina Hoff Sommers of
the American Enterprise Institute, “Men are
bearing the brunt of the current economic
crisis because they predominate in manufacturing and construction, the hardest-hit
sectors.” Women, on the other hand, “are
a majority in recession-resistant fields such
as education and health care.” Harvard
economist Greg Mankiw echoes this in
his blog, conjecturing “that a large part of
the explanation is the sectoral mix of this
particular downturn in economic activity,
including a significant slump in residential
construction.”
The “Great” Man-Cession
or Just a Normal One?

Despite the sudden interest in the phenomenon, the relative effects of the recession on men and women are not the least bit
unusual. At least since the 1969 recession,
men have borne the brunt of job losses during recessions, and, compared with previous recessions, men have actually borne a
smaller proportion of job losses in the current recession. Between 1969 and 1991, male
employment fell by an average of 3.1 percent
during the five recessions experienced during the period. Female employment, on the
other hand, actually tended to rise by an
average of 0.3 percent during recessions.1
Women have a much larger presence in the
work force now than between 1969 and 1991;
so, a more-relevant comparison is to the
2001 recession. For that recession, employment peaked in the first quarter of 2001 and
bottomed out in the third quarter of 2003,
with a total loss of a little more than 2.6 million jobs. Men accounted for 78 percent of
those job losses, just as they have during the
current recession. So, in terms of job losses,
the current recession has hit men in roughly
the same proportion as did the previous
recession, but by a much smaller proportion
than during earlier recessions.
Still, according to unemployment rates,
the gap between men and women is higher
than it has ever been. It is a bit of a mystery
as to why the gap in unemployment rates
shows much more of a man-cession than is
indicated by jobs numbers, but unemployment rates indicate much more than simply

changes in employment status. The rates
reflect not only the net number of people
who lose their jobs, but also the net number of people who are in the labor force
either already employed or looking for a
job. During this recession, the male labor
force has been shrinking as the number
of unemployed men has been rising. The
female labor force, in contrast, is actually
larger than it was when the recession began,
accounting for much of the increase in the
gap between the male and female unemployment rates.
In sum, the proper perspective on the
current recession is that its effect on the
employment of men relative to women
is very similar to the effects of the 2001
recession and much milder compared with
earlier downturns. Although this perspective debunks the notion of this recession
being an especially bad one for men relative
to women, the fact remains that recessions
hit male employment much harder than
female employment. Total employment
has fallen by 3.1 percent between the fourth
quarter of 2007 and the first quarter of 2009,
while male and female employment fell by
4.8 percent and 1.4 percent, respectively.
Put another way, men lost jobs at 3.4 times
the rate at which women did. Despite what
has been presumed, however, for the current
recession, this is not necessarily due to the
different mixes of industries in which men
and women tend to be employed.
The Role of Industry Mix

It’s easy to see the reasons for supposing
that the disproportionate job losses for
men are due to the disparate impacts of the
recession on the goods-producing sector, in
which 77 percent of employees in the fourth
quarter of 2007 were men. The two hardesthit industries have been construction and
manufacturing, which lost 12.7 percent
and 9 percent of their jobs, respectively,
between the fourth quarter of 2007 and the
first quarter of 2009. These two industries
also happened to have had two of the three
highest shares of male employment. At the
other end of the spectrum, two of the three
industries that saw positive job growth over
the period—the government sector as well
as the education and health services sector—are among the three with the lowest
shares of male employees. As illustrated by

figure 1
Job Losses and the Male Share of Employment
MALE SHARE OF INDUSTRY EMPLOYMENT, Q4.2007
% CHANGE IN EMPLOYMENT, Q4.2007 TO Q1.2009

Figure 1, there is a strong negative relationship between the share of male employment
and the rate of job growth. A notable exception to this tendency is the relatively small
natural resources and mining sector, which
has seen strong job growth in the wake of
high energy prices.
The problem with explaining the mancession only in terms of industry mix is
that it’s not really possible to separate the
industry-mix effects from other effects. The
evidence that something else is going on is
that men have been hit disproportionately
in almost every industry; that is, within an
industry, men have tended to lose jobs at a
higher rate than have women. In the service
sector, in which men accounted initially
for only 46 percent of employment, men
lost jobs at 4.2 times the rate that women
did (3.1 percent versus 0.7 percent), resulting in the same 78/22 split for the economy
as a whole. If the 78/22 split of total job
losses were due to male-majority industries
being hit hardest, we wouldn’t see the same
split in the goods-producing and serviceproducing sectors. Looking deeper into the
industry-level numbers, we can see more
evidence that the man-cession is more than
an industry-mix story.
The man-cession in the service sector is
laid out in more detail in the table. In the
trade, transportation and utilities industry,
men began the period holding 59 percent
of the jobs. In percentage terms, their job
losses were 1.4 times that of women, meaning that they accounted for 67 percent of the
industry’s total losses. Similarly, in professional and business services, leisure and
hospitality, and “other” services, men lost
jobs at 1.3, 1.2, and 5.8 times the rate that
women did and, consequently, accounted
for a disproportionate share of job losses.
In the two industries that gained jobs,
women began the period accounting for
large majorities of employment and gained
disproportionate numbers of new jobs. The
education and health industry, which began
the period with 77 percent women employees, experienced job growth of 3.3 percent,
80 percent of which went to women. Women
accounted for 57 percent of employees in
government, which saw a 1 percent increase
in employment, all of which was for women.
There were two industries that bucked
the trend and saw job losses that fell

6
4
2
0
0
–2
–4
–6
–8
–10
–12
–14

Natural Resources and Mining
Education and Health Services
Government
0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Manufacturing
Construction

SOURCE: Bureau of Labor Statistics

Table 1
The Man-Cession in the Service Sector

Share of Industry
Employment Q4.2007

Share of Industry
Change

Trade, Trans. and Utilities

% Change Q4.2007
to Q1.2009

Men Relative
to Women

–4.1

Men

0.59

0.67

–4.7

Women

0.41

0.33

–3.3

Men

0.58

0.49

–3.2

Women

0.42

0.51

–4.4

Information

1.41

–3.7

Financial

0.72

–4.2

Men

0.41

0.39

–4.0

Women

0.59

0.61

–4.4

Professional and Business

0.91

–5.6

Men

0.55

0.62

–6.3

Women

0.45

0.38

–4.7

Men

0.23

0.20

2.9

Women

0.77

0.80

3.4

Men

0.48

0.53

–2.4

Women

0.53

0.47

–2.0

Men

0.48

0.84

–1.9

Women

0.52

0.16

–0.3

Education and Health

1.34

3.3

Leisure and Hospitality

0.84

–2.2

Other

1.23

–1.1

Government

5.82

1.0

Men

0.43

–0.01

–0.03

Women

0.57

1.01

1.7

–0.02

Source: Bureau of Labor Statistics

The Regional Economist | www.stlouisfed.org 7

figure 2

% CHANGE IN EMPLOYMENT, Q4.2007 TO Q1.2009

The Man-Cession Across Demographic Groups
4
2
0
–2
–4
–6
–8
–10
–12
–14
–16

8.9

2.4

3.5

4.5

2.7

1.1

5.5

4.1

1.6

24.1
0.9

Men
Married

Single

Women
White

Black

Other

Ages
16-19

Ages
20-24

Ages
25-34

Ages
35-44

Ages
45-54

SOURCE: Bureau of Labor Statistics
NOTE: The number above or below the bars is the ratio of the change in men's employment to the change in women's employment.

Ages
55+

thing else is going on is that

disproportionately on women. Whereas
men comprised 58 percent of initial employment in the information service industry,
they accounted for only 49 percent of the
job losses. This industry is relatively small,
however, making up only about 2 percent of
total employment. In the financial services
industry, the job losses fell almost proportionally, with women seeing 61 percent of
the job losses while starting the recession
with 59 percent of the jobs.

men have been hit dispro-

The Demographics of the Man-Cession

“The evidence that some-

portionately in almost every
industry; that is, within an
industry, men have tended
to lose jobs at a higher rate
than have women.”

8 The Regional Economist | October 2009

Because men tended to have been affected
disproportionately across all industries,
whether goods-producing or service-producing, the story behind the man-cession
cannot be about industry mix alone.
Clearly, then, the man-cession phenomenon
is not a story about the goods-producing
industries but reflects something much
broader about the economy and how firms
respond to downturns by deciding which
workers they will let go and which they will
hire. As we have seen, employment losses
are not felt the same by men and women
within the same industry, and, in fact, recessions have widely varying effects across
demographic groups. Perhaps the male/
female differences within these categories
can shed some light on the man-cession
phenomenon.
Up to this point, all of the data have come
from payroll employment series produced
by the Bureau of Labor Statistics (BLS) and
which are derived from a monthly survey of
150,000 or so employers around the country.
These data, however, are not broken down

by demographic categories other than sex;
so, a different data source is needed. Fortunately, the bureau also surveys households
on a monthly basis and categorizes the
responses by demographic categories. The
employment measures from the payroll and
household surveys are not the same in that
they cover different types of employment.
For example, payroll employment does not
include farm employment or self-employment. Although the two employment
measures do not coincide perfectly, they do
capture the same broad patterns in male/
female employment. In fact, by fortunate
coincidence, the household survey indicates
the same 78/22 split in the male/female
employment losses that arise from the
payroll employment data and each of its two
major components, the goods-producing
and service-producing sectors.
Figure 2 illustrates the differences across
demographic groups and between men
and women within each group. For every
demographic group except for those aged 55
and above, fewer were employed in the first
quarter of 2009 than in the fourth quarter
of 2007, and men fared worse than women
within every group. There were, however,
significant differences in the impact of the
recession across the groups and on men
relative to women. Note that the demographic groups overlap a great deal; so, the
explanations for the differences across them
also often overlap. Further, across groups,
employment changes over the period reflect
not only the effects of the recession but also
ongoing trends in the tendency to participate in the labor market.2
Married men and women saw smaller job
losses than did their single counterparts.
Moreover, the effect of the recession on the
employment of married men was almost
nine times that on married women, whereas
the effect for single men was 2.4 times
that for single women. In part, the fact
that married women are the least likely
subgroup to see employment losses can
be explained by what has been called the
“added-worker effect.” 3
According to this effect, some married
women enter the labor force during recessions following their husbands’ job losses.
The added-worker effect can account for
some of the increase in the female labor
force during the recession.

figure 3

ENDNOTES

The Man-Cession By Education Level

1
2

% CHANGE IN EMPLOYMENT Q4.2007 TO Q1.2009

Another explanation for the difference
between married and single people is that
married people are more likely to have
children and are, therefore, more likely to
take a new job at lower pay after they lose
their old job. Also, much of the differences
according to marital status are reflections
of other demographic differences that
make them more likely to be affected by a
recession: Compared with married people,
single people tend to be younger and,
therefore, have less work experience and
lower education levels.
The differences across racial categories are
intertwined with differences in other categories. Black men, who have less education
on average than black women or whites, saw
the largest decrease in employment. Black
women, on the other hand, have seen the
smallest reduction in employment of any of
the six sex-race categories. Underlying these
differences is the long-term trend of women,
especially black women, becoming more
likely to be employed.
Figure 2 also illustrates the changes in
employment across age groups, for which
there are significant differences across
groups and between sexes within each
group. Teenagers, for example, have seen
the biggest decrease in employment during
the recession, but there was little difference
between the percentage decreases for male
and female teenagers. In contrast, for the
next lowest age group, those aged 20 to 24
years, men saw about a 9 percent decrease
in employment, which was 5.5 times the
decrease for women. Very large differences
between men and women were also seen
for ages 25-34 and 45-54. Partly reflecting
the ongoing trend of increasing employment, the number of employed people aged
55 and above rose by more than 3 percent
during the period. This increase might also
be due to the effects of delayed retirements
in the wake of dramatic decreases in savings and investments for retirement.
The final demographic category is educational attainment, for which there were
dramatic differences in male and female
employment changes during the recession.
For every category, men fared worse than
women (Figure 3). Much of these differences reflect the industry-mix effects: Men
without a high school diploma, for example,
would make up a significant proportion of

2
0
–2

3

–4
–6

See Goodman, Antczak and Freeman.
A recent paper by DiCecio et al. reviews the
trends in labor force participation, separating
out the changes due to trends from the changes
due to economic conditions.
See, for example, Stephens. DeRiviere has
estimated the size of a related effect called the
“pin-money” hypothesis.

–8

REFERENCES

–10
–12
–14

No High
School
Diploma

High School
Diploma

Some
College

Men

Women

Associate
Degree

Bachelor’s
Degree or
Higher

men in the construction and manufacturing industries, whereas women with associate and bachelor’s degrees would make up
a large portion of the education and health
industries. Nevertheless, given the differences in education levels between the sexes
within other demographic categories, such as
race and age, education level is probably an
important part of the man-cession story.

DeRiviere, Linda. “Have We Come a Long Way?
Using the Survey of Labour and Income
Dynamics to Revisit the ‘Pin Money’ Theory.”
Journal of Socio-Economics, Vol. 37, No. 6,
December 2008, pp. 2340-67.
DiCecio, Riccardo; Engemann, Kristie M.;
Owyang, Michael T.; and Wheeler, Christopher H. “Changing Trends in the Labor Force:
A Survey.” Federal Reserve Bank of St. Louis
Review, Vol. 90, No. 1, January/February 2008,
pp. 47-62.
Goodman, William; Antczak, Stephen; and Freeman, Laura. “Women and Jobs in Recessions:
1969-92.” Monthly Labor Review, Vol. 116,
No. 7, July 1993, pp. 26-35.
Hoff Sommers, Christina. “No Country for Burly
Men.” The Weekly Standard, Vol. 14, Issue 39,
June 29-July 6, 2009, pp. 22-24.
Stephens Jr., Melvin. “Worker Displacement
and the Added Worker Effect.” Journal of
Labor Economics, Vol. 20, No. 3, July 2002,
pp. 504-37.

So, What’s It All About?

The first thing to take away from this
blizzard of data is that the so-called Great
Man-cession of 2008-09 is nothing unusual
when compared with the previous recession. Even so, a greater than three-to-one
employment impact on men relative to
women is still large relative to the nearly
equal representation of the sexes in the work
force. This certainly has something to do
with the differences in the industries for
which men and women are in the majority,
as there is a strong tendency for industries
with large shares of men to have been hit
hardest by the downturn. These differences,
however, are only part of the story, which
must be completed by examining the sometimes large differences in the educational
and demographic characteristics of men
and women. The differences in employment
changes between men and women within
these groups are usually larger than those
across industries.

Report Goes In-Depth
On Recessions

Read more about economist
Howard Wall’s research into
recent U.S. recessions. His
report, The Effects of Recessions across Demographic
Groups, looks at employment of U.S. workers for this
recession and others going
back to 1972. Wall presents a
range of demographic categories—sex, marital status,
race, age and education. To
read the report, go to www.
stlouisfed.org/publications/
RecessionDemographics/.

Howard J. Wall is an economist at the Federal
Reserve Bank of St. Louis. For more on his work,
see http://research.stlouisfed.org/econ/wall.
The Regional Economist | www.stlouisfed.org 9

t e r r o r i s m

Increasing Political Freedom
May Be Key To Reducing Threats
By Craig P. Aubuchon, Subhayu Bandyopadhyay and Javed Younas
© Robin Bartholick /Corbis

E

ach year, the U.S. State Department
publishes Country Reports on Terrorism, which highlights current strategies,
outcomes and casualties from U.S. counterterrorism efforts. The 2008 report highlights the growing trend in terrorist attacks
abroad, including the September attack
against the U.S. Embassy in Yemen that
killed 18 people. The continued incidence
of terrorism prompts us to consider its root
causes. It is popular to single out poverty or
lack of education as major factors.1 Recent
economic literature, however, points more
toward civil liberties, political rights and the
rule of law as far greater factors.
Measuring Terrorism:
What Counts and How Much?

Measuring the incidence and type of terrorism is controversial. First, it is important
to distinguish between domestic and transnational terrorism. The latter is generally
considered any event that involves citizens
or territories of more than one country,
while the former is a local act carried out by
citizens of the target country. (The attack
in New York City on 9/11 is a prominent
example of transnational terrorism, where
foreign citizens carried out the attack. The
bombing by Timothy McVeigh in Oklahoma City in April 1995 is an example of
domestic terrorism.) It is also important to
consider whether the number of incidents
or the magnitude of events is more important. This is brought out very clearly in the
accompanying graphs reproduced from the
work of economists Graham Bird, S. Brock
Blomberg and Gregory Hess.2 While Figure 1
shows a drop-off in the number of terrorist
incidents, Figure 2 shows a rise in the number of deaths per incident over time. This
10 The Regional Economist | October 2009

demonstrates that terrorists are using more
lethal methods and weapons.
Poverty and Terrorism

A study by economists Alan Krueger
and Jitka Maleckova considers the influence of poverty and education on terrorism.
Surprisingly, they find no evidence that
reducing poverty or improving education
would “meaningfully reduce international
terrorism.” 3 The authors reached their
conclusion based on evidence from three
sources: Hezbollah militant activities in the
Gaza/West Bank region from 1998 to 2000,
individual profiles from members of Israeli
Jewish extremists in the late 1970s and from
a cross-country analysis using data from the
U.S. State Department. Interestingly, the
authors found that within the context of the
West Bank/Palestinian conflict, individuals who engaged in terrorism were better
educated and economically more affluent
than the average citizen. This apparently
paradoxical result may be better understood
when one realizes that individuals’ incomes
may correlate with their abilities. To succeed in terrorist attacks in a heavily guarded
environment (like Israel), one needs a
relatively high degree of skill and ability.
Therefore, it is natural for leaders of the terrorist groups to choose more-able volunteers
so that a planned attack is more likely to be
successful.
Another study, by Krueger and economist
David Laitin, analyzes the characteristics
of nations from which terrorism originates
and of target nations.4 They considered
incidents of terrorism where the target and
source nations of terrorism were distinct.
They found that source nations of terrorism were more likely to suffer from a lack

of civil liberties and that economic conditions (as captured by GDP per capita) in
these nations had no statistically significant
relationship with terrorism.5 On the other
hand, they find that nations with high GDP
per capita were more likely to be targets of
terrorism. A 2006 paper by Harvard economist Alberto Abadie also found that the risk
of terrorism was not significantly higher for
poorer nations once one accounted for other
country-specific characteristics such as the
level of political freedom.6
The study by Bird and his co-authors
comes to a different conclusion. They found
that net exporters of terrorism were poorer
nations, while terrorist targets (effectively,
the importers of terrorism) were rich.
Based on this observation, they suggest that
economic factors, among others, do have a
role in explaining both the origin and the
location of terrorist acts.
The Role of Political and Civil Rights

The aforementioned study by Abadie
focuses on the role that political freedom
plays in spurring terrorism.7 By studying
different nations, he finds that the incidence
of terrorism is highest in nations with
intermediate levels of political freedom.
Highly democratic and also highly autocratic regimes both tend to experience
less terrorism.
A recent working paper by St. Louis
Federal Reserve economist Subhayu Bandyopadhyay and co-author Javed Younas
explores the link between terrorism and
political and civil rights in developing
nations, using a sample of 125 countries.
Disaggregating the data between domestic
and transnational terrorism, they found that
it was only domestic terrorism that was

figure 1

endnotes
1

Transnational Terrorist Incidents, 1968-2003
700

INCIDENTS PER YEAR

600
500
2

400

3
4

300

5

200
100
0
1968

6

1973

1978

1983

1988

1993

1998

2003

7

YEAR

figure 2

DEATHS PER INCIDENT EACH YEAR

Deaths Per Transnational Terrorist Incident, 1968-2003
10
9
8
7
6
5
4
3
2
1
0
1968

8

1973

1978

1983

1988

1993

1998

2003

YEAR
SOURCE: Graham Bird, S. Brock Blomberg and Gregory D. Hess

For example, Chapter 5.7 of the 2008 Country
Reports on Terrorism states the implicit
assumption that poverty can lead to terrorism:
“High unemployment and underemployment,
often a result of slow economic growth, are
among the most critical issues in predominantly Muslim countries.”
See Bird et al.
See Krueger and Maleckova (2003).
See Krueger and Laitin (2007).
Admittedly, many nations are both sources
and targets of terrorism; the focus of this
study, however, was on transnational incidents where the sources and targets differed.
See Abadie.
A common measure of political and civil rights
comes from Freedom House, a nonprofit, nonpartisan organization. Freedom House defines
civil liberties as the protection of fundamental
individual rights against coercion and interference by the state; political rights include the
right to participate in the political process and
having freedom of speech. On a scale of 1 to 7,
Freedom House measures a country’s level
of political and civil rights separately, with 1
being free and 7 being not free, for a combined
score of 14. For example, in 2005 the United
States scored a 1 in both political and civil
liberties; Sudan scored a 7 on both accounts.
Examples of countries in-between include
Argentina (2 and 2), Thailand (3 and 3), and
Afghanistan (5 and 5).
Chapter 5 of the RAND MIPT publication,
“More Freedom, Less Terror? Liberalization
and Political Violence in the Arab World”
presents a detailed look at the political climate
and terrorist activity in Saudi Arabia from
1990 to the present.

R eferences

related to the level of political and civil
rights. Along the lines of Abadie, they
found that a transition from autocracy to
democracy might be associated with an
initial increase in terrorism.
These studies suggest that nations may
need to be patient on the path to democracy.
Giving more political rights to citizens may
not immediately reduce terrorism in that
country. An interesting example was the
2003 terrorist attacks against Saudi civilians
by an Al Qaida affiliate, which occurred
against the backdrop of political reform,
including the announcement of municipal
council elections in October 2003. 8

terrorism. The evidence suggests a closer
relationship with the lack of political or civil
liberties in origin nations, perhaps because
frustrations with existing regimes make
people more readily rely on violence. These
findings suggest a multipronged approach
to counterterrorism policy; military power
as well as economic assistance may help the
source nations of terrorism to achieve effective reform. All the studies suggest that, in
the long run, political reforms that confer
rule of law, civil liberties and political rights
to developing nations will be the best way to
reduce incidents of global terror.

Counterterrorism Policy:
A Comprehensive Approach

Subhayu Bandyopadhyay is an economist at
the Federal Reserve Bank of St. Louis. Craig P.
Aubuchon is a research associate at the Bank.
Javed Younas is assistant professor of economics
at the American University of Sharjah, United
Arab Emirates. For more on Bandyopadhyay’s
work, see http://research.stlouisfed.org/econ/
bandyopadhyay.

Because of the highly emotional and
traumatizing impact of terrorism, it is
important to take a measured and thoughtful look at counterterrorism policy. While
still in its early stages, research suggests that
economic status or lack of education may
not be the most important factors spurring

Abadie, Alberto. 2006. “Poverty, Political Freedom, and the Roots of Terrorism.” American
Economic Review: Papers and Proceedings,
2006, Vol. 96, No. 2, pp. 50–56.
Bandyopadhyay, Subhayu; Younas, Javed. “Does
Democracy Reduce Terrorism in Developing
Nations?” Federal Reserve Bank of St. Louis
Working Paper 2009-023A. Available at: http://
research.stlouisfed.org/wp/2009/2009-023.pdf.
Bird, Graham; Blomberg, S. Brock; and Hess,
Gregory D. “International Terrorism: Causes,
Consequences and Cures.” The World
Economy, 2008, Vol. 31, No. 2, pp. 255-74.
Kaye, Dalia Dassa; Wehrey, Frederic; Grant,
Audra K; and Stahl, Dale. More Freedom, Less
Terror? Liberalization and Political Violence
in the Arab World. RAND Corp.: Santa
Monica, Cal. 2008. See www.rand.org/pubs/
monographs/MG772/.
Krueger, Alan B; Laitin, David D. “Kto Kogo?:
A Cross-Country Study of the Origins and
Targets of Terrorism.” NBER Working Paper,
2007. See www.krueger.princeton.edu/terrorism4.pdf
Krueger, Alan B; Maleckova, Jitka. “Education,
Poverty and Terrorism: Is There a Causal
Connection?” Journal of Economic Perspective, 2003, Vol. 17, No. 4, pp. 119-44.
RAND-MIPT Terrorism Incidents Database, 2007.
See www.rand.org/ise/projects/terrorismdatabase/.
U.S. Department of State. Country Reports on
Terrorism 2008. See www.state.gov/s/ct/rls/
crt/2008/index.htm.

The Regional Economist | www.stlouisfed.org 11

c l i m a t e

c h a n g e

Regulating Carbon Emissions:
The Cap-and-Trade Program
By Cletus C. Coughlin and Lesli S. Ott
© Michael Prince /CORBIS

I

ncreased concentrations of greenhouse
gases have heightened concern throughout the world about climate change and
global warming. One manifestation of this
concern in the United States is reflected in
a market-based approach termed “cap and
trade” to regulate carbon dioxide emissions;
this is contained in the proposed American
Clean Energy and Security Act of 2009.1 This
legislation requires a 17 percent reduction in
emissions of carbon dioxide by 2020 from
2005 levels.2 While there are numerous controversial provisions in this legislation, this
article focuses on the economic principles
underlying the cap-and-trade proposal.3
Reducing Carbon Emissions Efficiently

Various regulatory approaches exist for
controlling pollution. A common one is
“command and control.” One example in the
context of carbon emissions is the Corporate
Average Fuel Efficiency (CAFE) standards,
which mandate minimum fleet mileage standards for motor vehicles sold in the United
States. Generally speaking, economists tend
to prefer market-based approaches, such as a
cap-and-trade program, to other regulatory
approaches for reducing carbon emissions.
Various economic reasons exist for preferring market-based approaches. First, all polluters face the same marginal cost of reducing
pollution, which is a necessary condition for
reducing pollution in the most cost-effective
way. For example, say that a polluter is either
taxed $15 for each ton of carbon emissions or
must have a permit that costs $15 per ton of
carbon emissions. In either case, $15 is the
price that the polluter must pay to emit one
ton of additional carbon emissions. Then,
each firm must compare this $15 per ton with
its own cost of reducing carbon emissions.
12 The Regional Economist | October 2009

As long as the firm’s incremental costs stay
less than or equal to $15, then it will reduce
its emissions; if not, assuming it is profitable
to do so, then the firm will pay the tax or buy
the permit. (Note that part of a firm’s adjustment to the higher price to pollute might
entail a cut in its production of goods.)
Second, incentives are provided so that
pollution is reduced relatively more by firms
with relatively lower costs of doing so. In
other words, if firms must pay $15 per ton
of carbon emissions, then firms that can
reduce pollution at relatively lower cost will
undertake relatively more abatement than
will higher-cost firms.
Third, market-based approaches provide
incentives for innovative activity that can
lower the cost of reducing pollution. Simply put, firms can increase their profits by
finding ways to lower the cost of reducing
pollution.
Under a cap-and-trade program, the
quantity of carbon emissions is capped. Given
an upper limit on the quantity of carbon
emissions, market participants will determine
the price of these emissions. The supply and
demand diagram in Figure 1 can be used
to illustrate the basics of a cap-and-trade
program. The horizontal axis measures the
quantity (Q) of carbon dioxide emissions
abated, while the vertical axis measures
the value (benefits or costs) per unit (P) of
carbon abated. Note that by capping emissions at some level, an abatement quantity
is set as well. The marginal benefit (MB)
curve is sloped negatively to reflect that
the additional benefit to society of abating
more carbon declines. This marginal benefit
curve reflects the social benefits of reducing
pollution. From the perspective of a polluter,
the (private) benefit of abatement is zero.

Meanwhile, the marginal cost (MC) curve
is sloped positively to reflect the assumption
of increasing marginal abatement costs. In
other words, as a firm attempts to abate more
and more carbon emissions, incremental costs
to the firm of additional abatement increase.
figure 1
Cap-and-Trade

P

MC

P*

MB
O

Q*

Q (emissions abated)

Given the curves in Figure 1, the ideal
quantity of abatement is indicated by Q*.
This quantity of abatement will result in a
price of carbon emissions of P* per unit. This
efficient outcome reflects the fact that emissions abatement should continue until the
point at which the marginal benefits equal
the marginal costs. Additional abatement
beyond Q* is inefficient because the marginal
costs exceed the marginal benefits.
In the preceding example, the marginal
benefit and cost curves were assumed to be
known with certainty. This is highly unlikely
as it is very difficult to pin down either the
benefits or the costs of reducing carbon emissions. For example, the benefits of reducing
the atmospheric concentration of carbon
dioxide from 380 to 325 parts per million are
not easily calculated. Not surprisingly, widely
divergent views are held.4 A more realistic
assumption is one of uncertainty, which allows

for one’s expectations to differ from what
actually occurs. Assume that the expected and
realized marginal cost curves are identical,
but that the realized marginal benefit exceeds
the expected marginal benefit. In other
words, the benefits of reducing carbon emissions are higher than originally anticipated.
In Figure 2, this is represented by a realized
marginal benefit (MBR) curve that lies above
the expected marginal benefit (MBE).
figure 2
Cap-and-Trade with Benefit Uncertainty

MC

B

P

C
A
MBR
MBE
O

QQ

Q*

Q
(emissions abated)

Under a cap-and-trade program, regulators, basing their decision on expected costs
and benefits, would require abatement of QQ
of carbon emissions. In Figure 2, the ideal
level of abatement is Q*; so, the cap-and-trade
program would result in too little abatement because QQ is less than Q*. Of course,
if the realized marginal benefit curve was
at a lower level than the expected marginal
benefit curve, too much abatement would
occur. The key point in this illustration is
that, because of uncertainty, the cap-and
trade program is unlikely to produce an ideal
outcome all the time.5 Excessive volatility
in the price of pollution is also a possibility.
When unintended, large adverse consequences result, specifics of the cap-and-trade
program will probably need to be modified.
Unfortunately, uncertainty comes into play
with all regulatory approaches.
Who Receives the Permits?

After the amount of allowable carbon
dioxide emissions is determined, decisions
must be made as to who is allowed to emit
and how much they are allowed to emit. One
approach, which is favored by the Obama
administration, is to have the government
auction off permits that allow the holder to
engage in actions that emit carbon. A fixed
number of permits would be auctioned that

would be purchased by those who placed the
highest value on them. Subsequently, as time
passes and circumstances change, those with
excess permits could sell them to those who
desired more permits.
Government sales of the permits would
generate revenue, which could be returned to
taxpayers or used for other projects, some of
which might be directly related to energy and
climate change issues. Currently, auctioning
all the permits does not appear to be acceptable politically. A House-passed version of
the American Clean Energy and Security Act
of 2009 would allow 85 percent of the permits to be allocated administratively, while
15 percent would be auctioned.6 Electricity
distributors would receive the largest share,
while the rest would be divided among
energy-intensive manufacturers, carmakers,
natural-gas distributors, states with renewable energy programs and others. This
compromise was viewed as necessary for
passage. Such an allocation would mean that
the government would receive little revenue
because only 15 percent of the permits would
be auctioned and that the initial allocation
would probably not go to those who value
the permits the most. However, this does
not necessarily mean that the permits would
not eventually be used by those who value
them the most. After the initial allocation of
permits, subsequent trading might lead to an
allocation of the permits to those who value
them the most. Of course, the sellers of the
permits rather than the federal government
would receive the money from these sales.

ENDNOTES
1

2

3
4
5

6

The largest active cap-and-trade program for
greenhouse gases is the European Union’s
Emission Trading Scheme. In the United
States, the Regional Greenhouse Gas Initiative
has implemented a cap-and-trade program for
greenhouse gas emissions from power plants.
Details on this legislation can be found
at: www.govtrack.us/congress/bill.
xpd?bill=h111-2454.
For a discussion of important design issues,
see Metcalf.
See Economist.
Those well-versed in economics will recognize
that the welfare loss associated with the capand-trade program in the present example is
represented by the triangle ABC.
This allocation is to last until 2030, at which
time all permits are to be auctioned.

REFERENCES
Economist. “Cap and Trade, with Handouts and
Loopholes.” May 23, 2009, pp. 33-34
Metcalf, Gilbert E. “Market-based Policy
Options to Control U.S. Greenhouse Gas
Emissions.” Journal of Economic Perspectives,
Spring 2009, Vol. 23, No. 2, pp. 5-27.

Economics vs. Politics

The cap-and-trade legislation illustrates
the interplay between economics and politics.
Uncertainty about the benefits and costs
guarantees that any proposal to regulate
carbon emissions will be controversial. While
the cap-and-trade program working its way
through Congress contains desirable economic
features, the prospects for an auction process
covering all permits for carbon emissions does
not seem to be a viable option politically.
Cletus C. Coughlin is an economist at the Federal Reserve Bank of St. Louis. For more on his
work, see http://research.stlouisfed.org/econ/
coughlin. Lesli S. Ott is a research associate at
the Bank.
The Regional Economist | www.stlouisfed.org 13

f i n a n c i a l

l i t e r a c y

Housing’s Great Fall:
Putting Household Balance
Sheets Together Again
By William Emmons
tyson mangelsdorf/www.munrocampagna.com

D

eclining U.S. house prices have contributed significantly to the deepest global
recession and the most severe financial crisis
in many decades.1 At the level of individual
U.S. households, falling house prices appear
to be a significant cause of mortgage defaults.2
At least 7 million mortgage foreclosures were
initiated during 2007 and 2008 combined,
and all indications are that the rate of foreclosures will remain high for some time.3
Falling house prices have inflicted severe
damage on many banks and other financial
institutions, such as Fannie Mae and Freddie
Mac, the government-sponsored mortgage
lenders, because many repossessed houses
now are worth less than the mortgage debt
they secure. Likewise, the market values of
securitized residential mortgages have fallen,
imposing losses on investors around the
world.4 Continuing distress among millions of homeowners, together with many
weakened financial institutions, may delay
the economic recovery.
Why are house-price declines so dangerous and disruptive? Can we prevent this
from happening again?
More Damaging Than Stock Declines

Perhaps surprisingly, U.S. households’
$4 trillion loss of value since the end of 2006
on the houses they own is far less than the
decline in households’ stock-market wealth
of $10 trillion that occurred after mid-2007
or the $8 trillion loss of stock-market wealth
that occurred during 2000-02. Yet, many
economists believe declining house prices
have been more damaging than either of the
two recent large stock-market declines.
Three features of homeownership in the
U.S. help explain the severe fallout from
declining house prices. First, unlike stock
14 The Regional Economist | October 2009

ownership, homeownership is widespread
among households at most income levels.
(See Table 1.) About two-thirds of families are homeowners, while only about half
owned stock directly or indirectly in 2007,
with most stock-market exposure concentrated at upper income levels.5
Second, for the vast majority of households,
the value of their house (if they own one)
is much larger than their stock portfolio (if
they have one) or any other investment. The
median value of a house was about $191,000,
while the median stock holdings among
households with a portfolio were $35,000,
both measured before the recent declines.
Third, houses usually are financed, in part,
with mortgage debt. (See Table 1.) For all
but the lowest quarter of family incomes, a
majority of homeowners have mortgage debt.
Leverage, or borrowing to finance an asset
purchase, causes the owner’s gains and losses
on the asset to be magnified.6 Thus, families
are more likely to own houses than stocks;
for most home-owning families, the value of
their house far exceeds their stock portfolio;
and housing often is a leveraged investment.
Declining house prices, therefore, directly
affect more families—and more significantly—than does a falling stock market.
Why This Time Is Different

High rates of homeownership and mortgage borrowing are not new developments
in the U.S. What seems to have made this
house-price decline so severe is, first, that
house prices rose so far, so fast—especially
in some areas, such as California, Nevada,
Arizona and Florida—and then fell hard and
fast. Second, the amount of mortgage debt
taken on by millions of households appears,
in retrospect, to have been excessive. House

prices, therefore, have declined more than
at any time since the 1930s precisely when
many more households were vulnerable to
the magnified effects of high leverage than
ever before.
Chart 1 shows the ratios of house prices to
per-capita personal incomes in Florida and
Missouri, examples of “boom” and “quiet”
markets, respectively. Average house prices
in Florida rose much faster after 2000 than
incomes, and those prices have fallen sharply
since 2006. Not surprisingly, foreclosure
rates in Florida have skyrocketed, as shown
in Chart 2. House-price-to-income ratios
and foreclosure rates also increased and then
decreased in Missouri, but by much less.
Meanwhile, the burden of servicing all
types of debt averaged across all families rose
from 10 percent of family income in 1989 to
about 12.5 percent in 2000 to almost 15 percent in 2007.7 These three years correspond
to the respective peaks of the past three
economic expansions, just before recessions
began and house-price growth slowed. It’s
clear that a long-term trend toward larger
debt burdens occurred across the U.S., making many households more vulnerable to
economic and financial shocks.
As most house prices fell after 2006, mortgaged homeowners’ equity fell even faster.
Homeowners overall have lost almost $5 trillion of homeowners’ equity through the first
quarter of 2009, even though house values
fell only about $4 trillion. The greater decline
in homeowners’ equity reflects the fact that,
as house prices fell after 2006, mortgage debt
continued to rise until recently.8 Considering
only homeowners with mortgage debt (about
two-thirds of all homeowners), the average
loss of homeowners’ equity is in the neighborhood of 70 percent, due to the magnifying

table 1

ENDNOTES

Homeownership and Mortgage Borrowing By Family Income Category

1

Family or individual
income category
in 2007

Number of families
in this category
(millions)

Of which, number
of families that
are homeowners
(millions)

Of which, number
of families that
have mortgage
debt (millions)

Percent of families
in this income
category that are
homeowners (%)

Percent of homeowning families
in this income
category with
mortgage debt (%)

Less than $20,000

23.2

10.1

3.4

43.7

33.9

$20,000 to $39,999

27.6

16.1

8.1

58.5

50.4

$40,000 to $79,999

31.3

23.6

16.7

75.3

70.9

$80,000 or more

28.2

25.8

20.6

91.3

79.9

Total population
of families

110.4

75.6

48.9

68.5

64.6

2
3
4
5
6

SOURCE: 2007 American Housing Survey, Bureau of the Census.

chart 1

chart 2

Ratio of House Prices to Per-Capita
Personal Income

Mortgage Foreclosure Rate

8

AVERAGE LEVEL IN 1991 EQUALS 100

% OF 1ST-LIEN MORTGAGES ENTERING FORECLOSURE (ANNUAL RATE)

12

180

10

160
Florida

Missouri

Florida

8

140

Missouri

6

120

4

100
80

7

2
0
90

95

00

05

10

SOURCES: Federal Housing Finance Agency and Bureau of
Economic Analysis. Quarterly data through Q1 2009.

effects of leverage. Of course, many homeowners have defaulted on their mortgages
already and, unfortunately, many more are
likely to do so—particularly if house prices
continue to fall and the unemployment rate
rises further.
Lessons Learned

One clear lesson from the housing crash
and foreclosure crisis is that house prices
can fall sharply, even on a nationwide basis.
Remarkably, it had become almost an article of
faith earlier in this decade among many mortgage lenders and borrowers that house prices
would not fall significantly, even in overheated
markets. It was assumed that most homeowners simply would wait to sell their houses until
demand recovered, rather than dumping their
properties into a falling market. As it turned
out, defaults increased sharply in 2006 and
2007. Banks and other owners of foreclosed
properties did sell a large number of houses,
even in falling markets. This unleashed a
downward spiral of house prices which, in
turn, contributed to more defaults.

90

95

00

05

10

SOURCES: Mortgage Bankers Association. Quarterly data
through Q1 2009.

Another key lesson is that mortgage borrowing can be excessive. Rather than focusing merely on the affordability of the initial
monthly payments a household must make, it
clearly is necessary to plan for any increases
that could occur and to build in a margin of
safety for unexpected financial stresses, such
as unemployment or unexpected medical or
other expenses.
The simplest way to avoid another devastating housing crash and foreclosure crisis
probably is to reduce and maintain much
lower levels of household leverage. Not only
might less mortgage borrowing make households better able to withstand any future
house-price declines or any other financial
shocks that might occur, but it also might
reduce the chance of house prices again rising to unsustainable levels.

For a discussion of the role of falling house
prices in the economic downturn and financial crisis, see Bernanke.
See Hatzius.
See Mortgage Bankers Association.
See Kohn.
See Bucks et al. and Census Bureau.
During the early part of this decade, when
house prices generally were rising, the
homeowners’ equity of any household with
mortgage debt increased faster, on a percentage basis, than the value of the house itself.
For example, a doubling of the value of a
$100,000 house on which there is a $50,000
mortgage results in a tripling of homeowners’ equity (from $50,000 to $150,000). After
house prices began to decline in about 2006,
the same magnification effect has been working in reverse.
See Bucks et al.
See Federal Reserve Board.

REFERENCES
Bernanke, Ben S. “Four Questions about the
Financial Crisis.” Speech presented at Morehouse College, Atlanta, Ga., April 14, 2009.
See www.federalreserve.gov/newsevents/
speech/bernanke20090414a.htm.
Bucks, Brian K.; Kennickell, Arthur B.; Mach,
Tracy L.; and Moore, Kevin B. “Changes
in U.S. Family Finances from 2004 to 2007:
Evidence from the Survey of Consumer
Finances,” Federal Reserve Bulletin, February
2009. See www.federalreserve.gov/pubs/
bulletin/2009/pdf/scf09.pdf.
Census Bureau. “2007 American Housing
Survey.” See www.census.gov/hhes/www/
housing/ahs/ahs.html.
Federal Reserve Board. Flow of Funds Accounts.
See www.federalreserve.gov/releases/z1/
default.htm.
Hatzius, Jan. “Beyond Leveraged Losses: The
Balance-Sheet Effects of the Home-Price
Downturn,” Brookings Papers on Economic
Activity, Fall 2008, pp. 195-227. See www.
brookings.edu/press/Journals/2009/brookingspapersoneconomicactivityfall2008.aspx.
Kliesen, Kevin. “Survey Says Families Are
Digging Deeper into Debt.” Federal Reserve
Bank of St. Louis The Regional Economist.
Vol. 14, No. 3, July 2006, pp. 12-13. See www.
stlouisfed.org/publications/re/2006/c/pages/
debt.cfm.
Kohn, Donald L. Comments on “Financial
Intermediation and the Post-Crisis Financial
System” by Hyun S. Shin et al., at the Eighth
Annual Bank for International Settlements Conference, “Financial System and
Macroeconomic Resilience: Revisited,” in
Basel, Switzerland, June 25, 2009. See www.
federalreserve.gov/newsevents/speech/
kohn20090710a.htm.
Mortgage Bankers Association. National Delinquency Survey of May 28, 2009. See www.
mortgagebankers.org/ResearchandForecasts/
ProductsandSurveys/NationalDelinquencySurvey.htm.

William Emmons is an economist at the Federal Reserve Bank of St. Louis. For more on his
work, see www.stlouisfed.org/banking/pdf/SPA/
Emmons_vitae.pdf.
The Regional Economist | www.stlouisfed.org 15

CO M M UNIT Y

P RO F I L E

Alton Comes to Grip
with Industrial Decline

The Argosy Casino brings not only a lot of cash but a lot
of color to Alton’s riverfront. In 1991, the casino became
the first attraction since a master plan was drawn up to
redevelop the stretch of the city along the Mississippi River.

Article and photos by Susan C. Thomson

T

hrough the 1980s, a railroad bridge,
a two-lane highway bridge and a lock
and dam, all decrepit with age, dominated
the riverfront at Alton, Ill. After the various
agencies in charge slated all three eyesores
for demolition, the city—25 miles north of
St. Louis and across the Mississippi—set to
work on a master plan to re-create the
riverfront along lines that were more
image-enhancing.
In 1991, the plan was done, and the riverfront got its first new attraction—the Alton
Belle, Illinois’ first floating casino.
Arriving as the city was fast losing its
longtime industrial base, the boat came
as a welcome shot of economic adrenalin,
bringing the city hundreds of new jobs and
a wellspring of new revenue from its local
shares of state casino taxes. To build on
those gains, the city imposed its own separate per-person tax on boat customers.
Although the casino was privately
financed, the next big riverfront improvement—a marina—received a hand from
the city in the form of $5 million in bonds,
repayable in part from marina revenue.
16 The Regional Economist | October 2009

Since opening in 1996, the facility has been
expanded three times; nearly 300 boats can
dock there now.
The latest and most ambitious riverfront
projects yet are a $4.4 million amphitheater
and a $2.5 million pedestrian bridge. The
amphitheater, which seats 4,000 under a
canopy, opened in May with a Miles Davis
jazz festival, named for one of Alton’s favorite sons. The bridge will span the railroad
tracks and four-lane highway that separate
the riverfront from Alton’s downtown; it is
slated for completion in November.
The city financed the bridge and amphitheater with a combination of tax increment
financing (TIF) money on hand and $5.5
million in TIF-backed bonds, all made possible by a TIF district consisting of the city’s
downtown plus some other commercial and
industrial properties. The city earmarks for
development all real estate taxes collected in
excess of the amounts in effect when the city
enacted the district in 1994.
The city has used TIF money to spruce up
several downtown blocks with new lights,
sidewalks and plants. Developers can also

Alton, Ill. by the numbers
Population....................................................... 29,393 *
Labor Force..................................................... 13,968 **
Unemployment Rate.............................10.3 percent **
Per Capita personal Income
Madison County....................................... $33,585 ***
*	U.S. Bureau of the Census, estimate July 1, 2008
** HAVER (BLS), June 2009
*** BEA/HAVER, 2007

Top Employers
St. Anthony’s Health Center.................................... 851 †
Alton Memorial Hospital......................................... 842 †
Alton Community Unit School District No. 11......... 835 †
Argosy Casino......................................................... 549 †
American Water...................................................... 530
SOURCES: Self-reported.
† Includes part-time

get TIF grants of $7,500 for each new business or residential unit created in downtown
buildings, which are up to 150 years old. In
the past four years, 30 new apartments or
condos and 10 new offices have resulted. A
number of new shops and restaurants have
also opened in an area that fell on hard

times after Alton Square Mall opened on the
edge of town in 1978 and became the go-to
local shopping place.
The city’s investments have turned the
once run-down downtown and unsightly
riverfront into what Brett Stawar, president
of the Alton Regional Convention & Visitors Bureau, describes as a string of pearls
for tourists.
The necklace also includes the 15-year-old
Clark Bridge, whose swooping yellow cables
shine in the sun, making a photogenic
background for the riverfront. The fourlane highway bridge was funded by the state
and federal governments. Another “pearl”
is the new lock and dam, erected two miles
downstream from the riverfront by the U.S.
Army Corps of Engineers. The complex,
which includes a river-themed museum,
logged 61,791 visitors in just the first six
months of this year.
The convention and visitors bureau,
which gets the biggest share of its funding
from cuts of the city’s taxes on hotels and
restaurant food and drink, also promotes
Alton’s longtime historic and natural assets.
These include the spot where Lincoln and
Douglas last debated in 1858, several significant Civil War-era sites, three picture-book
19th-century residential neighborhoods
on the National Register of Historic Places,
and scenic river bluffs where American
bald eagles come to feed every January and
February. The birds have grown into an
industry, luring 10,620 tourists to eaglerelated events this year—more than double
the number of two years ago.
As a measure of tourism’s growth, Stawar
cites the 70,700 room nights Alton’s three
hotels sold last year, a 9 percent uptick from
2007. He says they were quite often completely booked.
No count exists of the tourism jobs created, and they are too dispersed for any
single tourism employer to make the city’s
list of top employers, now led by Alton’s
two hospitals. Both are expanding—Alton
Memorial Hospital with a $45 million addition and St. Anthony’s Health Center with
a $70 million one.
“Health care has been great for the local
economy,” says Philip S. Roggio, the city’s
director of development and housing these
past 20 years. “Health care is generally
recession-proof.”

Alton was a manufacturing town for most
of the 20th century, but no more. Glassmaker Owens-Illinois shut down in 1983,
Smurfit-Stone Container Corp. closed its
paperboard mill in 1998 and Laclede Steel
liquidated three years later. From thousands
at their peaks, the plants were down at the
end to hundreds of jobs each—all lost.
After the state of Illinois declared the
glass company’s 153-acre property a brownfield, the city contributed $6 million in
TIF-backed bonds to a private developer’s
$18 million cost of cleaning up the site, tearing down old buildings, installing utilities
and turning it into a modern business park.
In 2001, New Jersey-based American Water
opened a call center in the park, choosing it for its central U.S. location over five
other sites in different states. The center,
which operates around the clock serving
the utility company’s customers in 32 states
and Ontario, has been steadily adding
employees.
In 2003, a group of local investors bought
Laclede’s former 400-acre site and, on part
of the parcel, opened Alton Steel Inc., a
maker of specialty steel bar products.
Even with the new company and business park, Alton has been left with acres of

Many remnants of Alton’s industrial heyday mark the city.
As in downtown and along the riverfront, the city is prepared
to use TIF to redevelop these vacant sites.

The Regional Economist | www.stlouisfed.org 17

The Beall Mansion, built in 1903, is located on Millionaire’s
Row in Alton. The mansion is now a well-known bed and
breakfast.
Among the sites promoted to tourists is this monument to
Alton’s Elijah P. Lovejoy. He was an abolitionist publisher
who was slain by a pro-slavery mob in 1837.
The $4.4 million amphitheater opened in May on the riverfront. In the background is the 15-year-old Clark Bridge, a
landmark in the St. Louis area, thanks to its unusual cablestay design and bright yellow cable wrappings.
Downtown is getting spruced up, thanks in no small part
to tax increment financing. These two buildings had been
candidates for demolition; with TIF incentives, developers
turned them into 11 apartments and two stores.

abandoned, falling-down factory buildings. As with downtown and the riverfront,
the city stands ready to use TIF money to
improve these properties, Roggio says.
The city also has its redevelopment
sights trained on Alton Square Mall, where
vacancies, declining sales and deferred
maintenance have taken their toll. To turn
it around, the city created a special taxing
district, which added a cent to the mall’s
sales tax rate. The city has pledged up to
$1.5 million of the extra money to the mall’s
Texas owner for renovations. As those
proceed, the city is pursuing deals to add a
12-screen movie theater to the mall and to
lure a new hotel/conference center to town.
“If we’re going to grow tourism,” says
Stawar, “we have to have more hotels.”
Downtown and the riverfront remain
works in progress. Downtown is still dotted
with empty buildings, but more TIF grant
applications are pending.
On the riverfront, a floating restaurant
has been for sale since closing more than a
year ago.
At the casino, now called the Argosy,
business is off—enough that the boat’s
staff is down by about half from a decade
ago, according to the general manager,
Rich Laudon. He blames the economic
downturn, competition from newer casinos
around the St. Louis metropolitan area and
a statewide ban on public smoking that
went into effect Jan. 1, 2008. Nevertheless,
18 The Regional Economist | October 2009

Alton’s $5.7 million share of state taxes on
the boat added up to about 22 percent of
the city’s operating budget last year, and the
total $414,000 from the city’s separate head
tax on casino customers went into a fund for
special city projects.
Meanwhile, on the strength of a $200,000
grant from the National Scenic Byways
Program, plans are afoot for a new riverfront attraction—a “flood memorial plaza.”
With a sculpture, fountain and exhibits, it
will be dedicated to the heroics of Alton’s
citizens in times of rising Mississippi waters.
Construction could start next year.
Dale Blachford, president of Liberty Bank
and an Alton resident for only five years,
says that, unlike some locals, he sees “more
of the positives than the negatives” about
the city. Overall, he sees a city that has been
slowly and successfully “reinventing itself”
these past 20 years and, of necessity, continues to do so. “It takes time,” he says.
Alton Mayor Tom Hoechst also takes a
long view, focused on the future. “We’re
still suffering from the old days when the
industrial jobs were so plentiful,” he says.
“Those jobs are gone, they’re not coming
back and people have to get used to that
fact.”
Susan C. Thomson is a freelancer.

d i s t r i c t

o v e r v i e w
ILLINOIS

INDIANA

St. Louis
Louisville

MISSOURI

Recession Takes Toll
on Eighth District Tax Collections

ARKANSAS

KENTUCKY

Memphis

Little Rock
MISSISSIPPI

By Thomas A. Garrett

A

midst the current recession, declining
state tax revenue and an increasing
demand for government services—such as
Medicaid, unemployment insurance and
various other social programs—are putting
increased pressure on state government
budgets. State governments estimate a $230
billion gap between expected expenditures
and expected revenue between fiscal year
2009 and fiscal year 2011.1 That figure represents roughly 12 percent of total annual
state government revenue (about $1.8 trillion) for recent years.
One culprit behind these gaps is the large
decline in states’ major sources of tax revenue—personal income, corporate income
and taxable retail sales.2 Revenue from
these taxes for fiscal year 2009 was down
6.6 percent, 15.2 percent and 3.2 percent,
respectively, from fiscal year 2008 levels.3
As with states across the country, tax
revenue for each of the seven states in the
Eighth Federal Reserve District is generally
lower as a result of the current recession.
Table 1 lists state revenue from the sales tax,
the personal income tax and the corporate
income tax, all for fiscal year 2008 (prerecession) and fiscal year 2009. In addition,
the percentage change between the two
fiscal years is given. Total state tax revenue
for the 50 states combined and for the seven
District states combined is also included.
In four of the seven District states, sales
tax revenue for fiscal year 2009 was lower
than in fiscal year 2008. Illinois experienced the largest decrease (–7.5 percent),
followed by Tennessee (–5.5 percent) and
Missouri (–3.7 percent). Sales tax revenue in
Arkansas increased by 1.1 percent between
fiscal year 2008 and fiscal year 2009. In
total for the seven states, the percentage

decline in sales tax revenue (–3.8 percent)
was slightly greater than the decline for all
50 states (–3.2 percent). The decline in sales
tax revenue for the seven states was less than
the decline in personal income tax revenue
(–5.1 percent) and corporate income tax
revenue (–20.3 percent).
Personal income tax revenue declined in
six of the seven District states between fiscal
year 2008 and fiscal year 2009. Illinois and
Tennessee experienced the largest declines
of –8.8 percent and –30.1 percent, respectively. It is important to note that Tennessee’s personal income tax only applies to
dividend and interest income, not wage
income (which is the largest component of
personal income) as in the other six states.
Thus, a reduction in Tennessee’s much
smaller personal income tax base yields a
larger percentage decrease than an equal
reduction in other states. Mississippi was
the only state to experience a positive, albeit
small, increase in personal income tax revenue (0.4 percent). As a whole, the decline
in personal income tax revenue in the seven
states (–5.1 percent) was less than that of the
50 states (–6.6 percent).
Corporate income tax revenue declined
in all seven states from fiscal year 2008
to fiscal year 2009. The largest declines
were in Kentucky (–44.4), Illinois (–22.0
percent) and Missouri (–21.1 percent). Of
the seven states, Indiana experienced the
smallest decline in corporate income tax
revenue (–9.7 percent). For the seven states,
corporate income tax revenue decreased by
a greater percentage (–20.3 percent) than
did sales tax revenue (–3.8 percent) and
personal income tax revenue (–5.1 percent). In addition, the decline in corporate
income tax revenue for the seven states was

TENNESSEE

The Eighth Federal Reserve District is
composed of four zones, each of which
is centered around one of the four main
cities: Little Rock, Louisville, Memphis
and St. Louis.

about 33 percent greater than that of the 50
states (–20.3 percent versus –15.2 percent,
respectively).
Total tax revenue (defined here as sales
tax revenue + personal income tax revenue
+ corporate income tax revenue) for each
state is shown in the last three columns
of Table 1. All seven states experienced a
decline in total tax revenue between fiscal
year 2008 and fiscal year 2009, with the
declines ranging from a high of –9.6 percent
in Illinois to a low of –2.2 percent in Mississippi. The decline in total tax revenue for
the seven states (–6.0 percent) was slightly
less than that of the 50 states (–6.1 percent).
Differences across the States

Although the majority of Eighth District
states experienced a decline in revenue from
the three major taxes, the magnitude of
the decline across states is quite different.
One reason is that various tax bases may be
more affected by an economic slowdown
than others, and this effect may be different
across states. For example, a reduction in
retail sales will reduce sales tax revenues,
whereas a reduction in employment will
more likely influence personal income tax
revenue and corporate income tax revenue.
Thus, the degree to which an economic contraction affects consumption, employment
and income in each state can explain part
of the difference in the performance of the
three tax revenue sources across the states.
A related reason is the degree to which
each state relies on, as a percentage of total
tax revenue, each source of revenue. As
seen in Table 2, the seven states each rely on
each source of revenue to varying degrees.
For example, 25 percent of total tax revenue
in Missouri is from the state’s sales tax,
The Regional Economist | www.stlouisfed.org 19

Table 1
Tax Collections, Eighth District States ($ millions)
Sales Tax Revenue
State

FY2008

FY2009

Arkansas

2,111

2,135

Illinois

7,215

6,674

Indiana

5,534

5,426

Kentucky

2,878

Mississippi

1,947

Missouri
Tennessee

Personal Income Tax Revenue
% Change

FY2008

FY2009

% Change

1.14

2,345

2,271

–3.16

–7.50

10,320

9,417

–8.75

–1.95

4,838

4,726

–2.32

2,878

0.00

3,483

3,365

1,950

0.15

1,542

1,548

1,931

1,860

–3.68

5,210

5,084

–2.42

6,851

6,475

–5.49

292

204

–30.14

Corporate Income Tax Revenue
FY2008

Total Tax Revenue

FY2009

% Change

318

258

–18.87

1,860

1,450

–22.04

910

822

–9.67

–3.39

435

242

0.39

501

403

459
1,620

FY2008

FY2009

% Change

4,774

4,664

–2.30

19,395

17,541

–9.56

11,282

10,974

–2.73

–44.37

6,796

6,485

–4.58

–19.56

3,990

3,901

–2.23

362

–21.13

7,600

7,306

–3.87

1,328

–18.02

8,763

8,007

–8.63

7 State Total

28,467

27,398

–3.76

28,030

26,615

–5.05

6,103

4,865

–20.29

62,600

58,878

–5.95

50 States

214,217

207,358

–3.20

276,155

257,805

–6.64

50,772

43,034

–15.24

541,144

508,197

–6.09

SOURCE: National Governors Association and the National Association of State Budget Officers (2009). Total tax revenue is the sum of the three individual taxes.

Table 2
whereas over 78 percent of total tax revenue
in Tennessee is from the state’s sales tax.
Tax Revenue as Percentage of Total Tax Revenue (2008)
Similarly, 69 percent of total tax revenue in
State
Sales Tax %
Personal Income Tax %
Missouri is from the personal income tax,
Arkansas
44.2
49.1
compared with only 3.3 percent in TennesIllinois
37.2
53.2
see. Thus, equal drops in retail sales activity
(assuming constant tax rates and exemptions) Indiana
49.1
42.9
will influence total tax revenue much more in Kentucky
42.3
51.3
Tennessee than in Missouri.
Mississippi
48.8
38.6
Looking Ahead

States will continue to face budget pressure until economic conditions improve.
Improvement in revenue streams from the
sales tax, the personal income tax and the
corporate income tax is dependent upon,
broadly speaking, increased consumer
spending and greater employment and business investment. Slow or stagnant growth
in one or more of these areas will hinder
growth in total tax revenue, especially in
those states that generate the majority of
their tax revenue from only one or two taxes.
Certainly, there are factors other than
the three major taxes that will influence a
state’s fiscal health. Increased federal money
to state governments as a result of the
American Recovery and Reinvestment Act
(the stimulus package) may provide a temporary boost to state government revenue.
Reductions in expenditure on various statefunded programs, such as higher education, social services and corrections, have
occurred in dozens of states in fiscal year
2009, with further cuts likely in the next year
or two. Finally, many states are considering
tax increases in fiscal year 2010 and fiscal
year 2011.
20 The Regional Economist | October 2009

Missouri

25.4

Corporate Income Tax %
6.7
9.6
8.1
6.4
12.6

68.6

6.0

Tennessee

78.2

3.3

18.5

50 States

39.6

51.0

9.4

NOTE: Percentages are computed using the data in Table 1. Numbers may not add up to 100 percent due to rounding.

Regardless of the actions taken by state
governments to shore up their balance
sheets, only an economic recovery will
provide for growth in state tax revenue. As
long as state governments rely on revenue
sources that are linked to economic performance and fail to adequately save during
prosperous times, it is certain that states
will once again find themselves facing
budget shortfalls during the next economic
slowdown.

E ndnotes
1

2

3

Thomas A. Garrett is an economist at the
Federal Reserve Bank of St. Louis. For more
on his work, see http://research.stlouisfed.org/
econ/garrett/.

All tax data presented here are from National
Governors Association and the National
Association of State Budget Officers.
State governments obtain revenue from sources
other than sales taxes, personal income taxes
and corporate income taxes. These sources
include excise taxes, user fees, federal government transfers, license fees and selective sales
taxes (sales taxes on specific goods, such as
tobacco). About 40 percent of general fund
revenue is from the personal income tax, 33
percent is from the sales tax and 8 percent is
from the corporate income tax.
The fiscal year for most states, including all of
those in the Eighth District, ends June 30. The
exceptions are: Alabama and Michigan, Sept. 30;
Nebraska and Texas, Aug. 31; and New York,
March 31.

R eferences
National Governors Association and the National
Association of State Budget Officers. The Fiscal
Survey of States, June 2009. See www.nasbo.
org/Publications/PDFs/FSSpring2009.pdf.

B OO K

r Ev i e w

In Fed We Trust: New Book Focuses
on the Fed in the Eye of the Storm
By Kevin L. Kliesen
(The author’s book review of In Fed We Trust
takes the place of our usual National Overview
feature, which will return in the next issue.)

T

he nation’s economic policymakers are
entrusted with helping to ensure economic and financial stability. Often, though,
a policymaker’s thought process is clouded
by the storm and stress of the crisis. In his
book In Fed We Trust: Ben Bernanke’s War
on the Great Panic (published in August 2009
by Crown Business), the Wall Street Journal’s
David Wessel walks us through a detailed,
behind-the-scenes narrative that attempts to
portray the difficulties facing Federal Reserve
policymakers (and those in the federal
government) as they formulated an evolving
response to the financial crisis that roughly
began in August 2007.
From Page 8:
This is the story of the Bernanke Fed
abandoning “failed paradigms” in
order “to do what needed to be done.”
It is a story of what the Fed saw and
what it missed, what it did and what
it didn’t, what it got right and what
it got wrong. It is a story about Ben
Bernanke deciding to do whatever it
takes. Above all, it is a story about
a handful of people—overwhelmed,
exhausted, beseeched, besieged, constantly second-guessed—who found
themselves assigned to protect the U.S.
economy from the worst economic
threat of their lifetimes.
Heading into the last few months of 2009,
it appears that these efforts have produced
some tangible benefits: The economic and
financial headwinds that have hammered
the U.S. economy over the past year or so
appear to be calming. Indeed, a majority
of economists believe the recession that

officially began sometime in December
2007 has finally ended.
Riders on the Storm

As the book’s subtitle suggests, much
of the narrative is focused on the Federal
Reserve’s response to the financial crisis—what Wessel calls the Great Panic.
The design and implementation of these
policy responses are seen mainly through
the lens of Chairman Ben Bernanke
and his key colleagues on the Federal
Open Market Committee. Wessel also
added a second subtitle to the book: How the
Federal Reserve Became the Fourth Branch
of Government. By this, Wessel has in mind
the Federal Reserve’s special lending powers
that were invoked under Section 13(3) of the
Federal Reserve Act. Under the auspices of
“unusual and exigent circumstances,” the
Federal Reserve—via the three special lending facilities named Maiden Lane I, II and
III—helped to finance the purchase of Bear
Stearns by JPMorgan Chase and to prevent
the failure of American International Group
(AIG). Wessel also relates how Bernanke
and other Federal Reserve officials urged the
government’s other key economic players
to take aggressive actions at key moments
in the Great Panic. These included policies
designed to stabilize the nation’s 19 largest
depository institutions deemed too systemically important to fail.
In Fed We Trust is an entertaining read,
but it is generally written from a Washington,
D.C., and New York City perspective. Indeed,
the key Federal Reserve officials in the narrative are Bernanke, Govs. Don Kohn and
Kevin Warsh, and then-New York Fed President Tim Geithner. Wessel refers to them
as the four musketeers. At times, the four
musketeers wanted to move faster and more
aggressively than other policymakers did.
This created some tension with policymakers
who advocated a more cautious approach.

Among the latter was a group of several
Federal Reserve District Bank presidents who
“were determined to show their manhood by
talking tough about inflation and economic
rectitude.” In perhaps the unkindest cut of
all, those District Bank presidents, many of
whom found intellectual support from prominent academics like John Taylor of Stanford
University, were derisively labeled “presidents
from the flyover states” by “internal foes.”
Age of Delusion?

Former Fed Chairman Alan Greenspan
is another prominent person whom Wessel
takes to task. In the chapter titled “Age of
Delusion,” Wessel argues that the Greenspan
Fed not only kept interest rates too low for
too long, but it ignored important warning
signs from the booming housing market.
Wessel is also upset that Greenspan largely
ignored former Federal Reserve Gov. Ned
Gramlich’s warnings about the subprime
market. In short, Wessel believes Greenspan
put too much faith in the financial markets
and financial institutions. Some of these criticisms are fairly easy to make with the benefit
of hindsight. Some may even be true. For
example, Taylor, among others, has argued
that monetary policy was excessively easy for
too long in 2003-2004. But even if Wessel is
correct in asserting that the Fed should have
taken a more aggressive regulatory stance
against subprime mortgages, it is difficult to
The Regional Economist | www.stlouisfed.org 21

e c o n o my

a t

a

g l a n c e

Eleven more charts are available on the web version of this issue. Among the areas they cover are agriculture, commercial
banking, housing permits, income and jobs. Much of the data is specific to the Eighth District. To go directly to these charts,
use this URL: www.stlouisfed.org/publications/re/2009/d/pdf/10-09-data.pdf.

5

4

4
3

2
0
–2

1
0
–1

–6

–2

–8

–3

04

05

06

07

08

09

All Items Less Food and Energy

04

06

05

4/29/09

5-Year

10-Year

20-Year

.30
6/24/09

.25
8/12/09

.20
9/15/09

Sept. 11

05

06

07

08

.15

09

Sept. 09 Oct. 09 Nov. 09 Dec. 09 Jan. 10 Feb.10
CONTRACT MONTHS

6

9

5

8

4
PERCENT

PERCENT

I N T E R E S T R AT E S

10

7

3
10-Year Treasury

6

2

5

1

Fed Funds Target

04

05

06

07

08

0

09

U . S . A G R I C U LT U R A L T R A D E

04

05

06

07

08

09

NOTE: On Dec. 16, 2008, the FOMC set a target range for
the federal funds rate of 0 to 0.25 percent. The observations
plotted since then are the midpoint of the range (0.125 percent).

FA R M I N G C A S H R E C E I P T S

75

190

60

170
Exports

45

August

1-Year Treasury

August

NOTE: Beginning in January 2003, household data reflect revised
population controls used in the Current Population Survey.

BILLIONS OF DOLLARS

09

.35

C I V I L I A N U N E M P L O Y M E N T R AT E

30
Imports

0

August

08

.40

NOTE: Weekly data.

4

07

RATES ON FEDERAL FUNDS FUTURES ON SELECTED DATES

PERCENT

3.0
2.5
2.0
1.5
1.0
0.5
0.0
–0.5
–1.0
–1.5
–2.0
–2.5
–3.0

CPI–All Items

NOTE: Percent change from a year earlier.

15

Crops

Livestock

150
130
110

Trade Balance

04

05

06

August

07

08

NOTE: Data are aggregated over the past 12 months.
22 The Regional Economist | October 2009

2

–4

I N F L AT I O N - I N D E X E D T R E A S U RY Y I E L D S P R E A D S

Moral Hazard and Other Issues

In Fed We Trust is an admirable effort
to clarify how policymakers cope with
the massive amounts of uncertainty
during periods of turmoil. Indeed, one
of the lessons, as Wessel recounts, is that
economic conditions can change rapidly
and be contrary to the expectations of
policymakers. Most policymakers know
this and design their policies accordingly.
Yet, while this book provides key insights
into the policy process during the height
of a panic, Wessel gives short-shrift to the
moral hazard and potential inflationary
consequences raised by, among others, the
District Bank presidents from so-called
flyover states, who do not fare well in this
narrative. What has yet to be determined,
and, admittedly, what Wessel and others
cannot know with certainty, at this point
is the legacy of the Federal Reserve’s innovative responses to the crisis.

6

6

BILLIONS OF DOLLARS

conceive that this would have made much
of a difference in mitigating the Great
Panic. If there is empirical evidence to the
contrary, Wessel does not cite it.

8

NOTE: Each bar is a one-quarter growth rate (annualized);
the red line is the 10-year growth rate.

PERCENT

In his new book on the Federal Reserve’s response
to the recent financial panic, author David Wessel writes
that Fed Chairman Ben Bernanke (above) and other key
Fed officials wanted to move faster and more aggressively than did other policymakers during the so-called
Great Panic.

CONSUMER PRICE INDEX

PERCENT

PERCENT

REAL GDP GROWTH

09

90

April

04

05

06

07

08

NOTE: Data are aggregated over the past 12 months.

09

R e a d e r

e x c h a n g e

ask AN economist
Silvio Contessi has been an economist
in the Research division of the Federal
Reserve Bank of St. Louis since 2007. His
main expertise is international economics
with a focus on multinational firms and
international factors movement. Recently,
Contessi also has studied the behavior
of commercial banks during the financial
crisis. In his free time, he enjoys unwinding
at the gym and in the park, playing guitar
and sand volleyball, and chilling at the pool.
For more on his work, see http://research.
stlouisfed.org/econ/contessi.

Fed Flash Poll Results

Whenever a new issue of The Regional Economist is published, a new poll is
posted on our web site. The poll question is always pegged to an article in
that quarter’s issue. Here are the results of the poll that went with the July
issue. The question stemmed from the article “Digging into the Infrastructure Debate.”
which of these comes closest to your
list of infrastructure priorities?

16%
	Roads, sewers, schools, health care, mass transit.
Mass transit, alternative fuel, Internet, roads, sewers.

52%

16%

	Internet, mass transit, alternative fuel, sewers, roads.

Why would a firm want to become a multinational?
Let’s be clear about what we mean by a multinational. This is a firm
that extends beyond the borders of an individual nation and operates with
affiliates and branches in at least two countries. A multinational organizes
phases for producing goods and services to sell in different countries.
For example, many car companies have mastered the so-called international segmentation of production, which works like this: A Toyota vehicle
assembled in San Antonio may have been designed at the Toyota design
center in Australia; the vehicle’s aluminum-wheel components may have
been produced in Delta, British Columbia; and its other components may
have been produced in yet another location.
Other multinationals replicate entire production processes in different
countries. Consider Coca-Cola. If you are visiting Poland, the Coke you
drink probably was produced in a plant in Lodz, Poland, not in the United
States, although the brand and the company hail from the U.S.
International business scholars and economists have observed that firms
become multinationals to exploit three broadly defined sets of advantages.
The first is ownership advantage. Multinational firms usually develop and
own proprietary technology (the Coca-Cola formula is patented and kept
extremely secret) or widely recognized brands (such as Ferrari) that other
competitors cannot use. Multinationals often are technological leaders and
invest heavily in developing new products, processes and brands, while usually keeping them confidential and protected by intellectual property rights.
Maintaining stronger protection of these elements helps firms enjoy greater
profits from innovation.
Second, consider localization advantage. Multinationals usually try to
build facilities that produce and sell their products in locations near the consumer (the Polish consumers of Coke in our example). This helps reduce
transportation costs or helps the company fit in better with local tastes and
needs. Proximity to demand also helps firms adapt their products and services to different markets. At the same time, they also may take advantage
of lower production costs (for example, labor costs, energy, sometimes even
lower environmental standards) or more abundant production factors, such
as expert engineering or greater raw materials). For example, the Polish
affiliate of Coca-Cola also owns bottling plants in the Beskidy Mountains
region of Poland, which is rich in mineral water for making other beverages.
Finally, multinationals want to internalize the benefits from owning a particular technology, brand, expertise or patents that they find too risky or unprofitable to rent or license to other firms. Enforcing international contracts can
be costly or ineffective in countries in which the rule of law is weak and court
procedures are long and inefficient. In these cases, the company also may
risk losing its ownership advantage, which it has created at a substantial cost.

Schools, health care, roads, sewers, mass transit.

8%

8%

	Roads, power (pipelines, electricity grid, etc.), sewers,
Internet, mass transit.
835 responses as of 9/14/2009

This issue’s poll question:

How has the threat of terrorism affected the
way that your company does business?
1. It has had no effect at all.
2. We keep up to date with the latest news on terrorism threats.
3. We are branching out only to areas with low threat levels.
4. We’ve had unpredictable disruptions in our supply chain due to terrorism threats.
5. Our company specializes in products designed to combat terrorism.
After reading “Increasing Political Freedom May Be Key To Reducing Threats,”
go to www.stlouisfed.org to vote. Anyone can vote, but please do so only once.
(This is not a scientific poll.)

New Editor
The Regional Economist has a new editor,
Subhayu Bandyopadhyay, an economist in the
Research division of the Federal Reserve Bank
of St. Louis. Bandyopadhyay joined the Bank in
2007, but had been a visiting scholar at the Bank
on multiple occasions earlier this decade. Bandyopadhyay has taught at West Virginia University
and the University of Maryland. He has also been
a visiting professor at the University of the Andes,
in Bogota, Colombia, and a research fellow and
visiting scholar at the Institute for the Study of Labor in Bonn, Germany.
He has a Ph.D. in economics from the University of Maryland; a master’s
in economics from the Jawaharlal Nehru University in New Delhi, India;
and a bachelor’s in economics from Calcutta University, India. A native
of India, he has lived in the United States since 1987 and is a U.S. citizen.
Bandyopadhyay’s research interests include international trade, development economics and applied microeconomics. Bandyopadhyay succeeds Michael Pakko, who left the Bank to become the chief economist
and state economic forecaster at the Institute for Economic Advancement
at the University of Arkansas at Little Rock.
The Regional Economist | www.stlouisfed.org 23

PRSRT STD
US POSTAGE
PAID

ST LOUIS MO
PERMIT NO 444

n e x t

i s s u e

Exiting the Recession
Although the recent recession has been the longest and deepest since the 1930s, some economists believe that the Federal
Reserve’s response to the financial crisis prevented an even
worse outcome. With economic and financial conditions on the
mend, many economists and others are increasingly turning
their attention to the legacy of the Federal Reserve’s aggressive
actions to assist and stabilize fragile credit markets. Foremost
among the concern of many is how to prevent an unwelcome
surge in inflation. What is the Fed’s exit strategy?
Find out more in the January issue of The Regional Economist.

economy at a

The Regional

glance

Economist

OCTOBER 2009

6

6

5

4

4
3

2
0
–2

2
1
0

–4

–1

–6

–2

–8

04

05

06

07

08

–3

09

CPI–All Items
All Items Less Food and Energy

04

4/29/09

5-Year

10-Year

20-Year

.30
6/24/09

.25
8/12/09

.20
9/15/09

Sept. 11

05

06

07

08

.15

09

Sept. 09 Oct. 09 Nov. 09 Dec. 09 Jan. 10 Feb.10
CONTRACT MONTHS

I N T E R E S T R AT E S

10

6

9

5

8

4
PERCENT

PERCENT

09

.35

C I V I L I A N U N E M P L O Y M E N T R AT E

7

3
10-Year Treasury

6

2

5

1

Fed Funds Target

04

05

06

07

08

0

09

U . S . A G R I C U LT U R A L T R A D E

04

05

06

07

08

09

NOTE: On Dec. 16, 2008, the FOMC set a target range for
the federal funds rate of 0 to 0.25 percent. The observations
plotted since then are the midpoint of the range (0.125 percent).

FA R M I N G C A S H R E C E I P T S
190

60

170
BILLIONS OF DOLLARS

75

Exports

45

August

1-Year Treasury

August

NOTE: Beginning in January 2003, household data reflect revised
population controls used in the Current Population Survey.

BILLIONS OF DOLLARS

August

08

.40

NOTE: Weekly data.

30
Imports

15
0

07

RATES ON FEDERAL FUNDS FUTURES ON SELECTED DATES

PERCENT

PERCENT

I N F L AT I O N - I N D E X E D T R E A S U RY Y I E L D S P R E A D S

3.0
2.5
2.0
1.5
1.0
0.5
0.0
–0.5
–1.0
–1.5
–2.0
–2.5
–3.0

06

05

NOTE: Percent change from a year earlier.

NOTE: Each bar is a one-quarter growth rate (annualized);
the red line is the 10-year growth rate.

4

VOL. 17, NO. 4

CONSUMER PRICE INDEX

8

PERCENT

PERCENT

REAL GDP GROWTH

|

Crops

Livestock

150
130
110

Trade Balance

04

05

06

August

07

08

NOTE: Data are aggregated over the past 12 months.

09

90

April

04

05

06

07

08

NOTE: Data are aggregated over the past 12 months.

09

U.S. CROP AND LIVESTOCK PRICES / INDEX 1990-92=100
195
Crops

Livestock

175
155
135
115
95
75

August

94

95

96

97

98

99

00

01

02

03

04

05

06

07

08

09

commercial bank performance ratios
U . S . B an k s by A sset S i z e / second Q U A R T E R 2 0 0 9
All

$100 million­$300 million

Less than
$300 million

$300 million$1 billion

Less than
$1 billion

$1 billion$15 billion

Less than
$15 billion

More than
$15 billion

Return on Average Assets*

0.04

0.19

0.18

0.11

0.14

–0.68

–0.29

0.14

Net Interest Margin*

3.30

3.75

3.79

3.64

3.71

3.47

3.58

3.22

Nonperforming Loan Ratio

4.39

2.89

2.74

3.44

3.12

4.33

3.77

4.64

Loan Loss Reserve Ratio

2.94

1.56

1.55

1.72

1.64

2.28

1.98

3.32

R E T U R N O N AV E R A G E A S S E T S *
0.07

NET INTEREST MARGIN*

0.66

1.13

–0.04

1.09

–1.00 –.75 –.50 –.25 .00 .25 .50 .75 1.00 1.25 1.50
Second Quarter 2009

PERCENT

Second Quarter 2008

1.54
1.23

2.40

.75

3.22

Second Quarter 2009

4.0

5.0

2.91

5.25 6.00

1.99

1.27
1.20
1.24

1.58

1.60

Tennessee
PERCENT

Second Quarter 2008

NOTE: Data include only that portion of the state within Eighth District boundaries.
SOURCE: FFIEC Reports of Condition and Income for all Insured U.S. Commercial Banks
* Annualized data

1.70

1.27

Missouri
5.30

2.05

1.30
1.23

Mississippi

4.50

3.0

Second Quarter 2008

1.39

Kentucky

3.00 3.75

2.0

1.51

Indiana

1.89

1.50 2.25

1.0

Illinois

3.16

.00

0.0

Arkansas

1.90

1.92

3.23
3.22

Eighth District

1.65
1.34
0.79

3.30
3.60

L O A N L O S S R E S E RV E R AT I O

2.90

1.70

3.76
3.97

Second Quarter 2009

N O N P E R F O R M I N G L O A N R AT I O
1.83

4.08
3.96

Tennessee

0.07

3.87

Kentucky

Missouri

0.50

–0.74

3.46

Mississippi

1.02

–0.29

3.62
3.62

Illinois
Indiana

0.89
0.91

3.97
3.95

Arkansas

1.03
0.97

–0.46

3.59
3.69

Eighth District

0.70

2.00

2.02

.00

.50

1.00

1.50

Second Quarter 2009

2.00 2.50

3.00

3.50 4.00

Second Quarter 2008

For additional banking and regional data, visit our web site at:
www.research.stlouis.org/fred/data/regional.html.

regional economic indicators
nonfarm employment growth * / second Q U A R T E R 2 0 0 9
year-over-year percent changE
United
States

Eighth
District †

Arkansas

Illinois

Indiana

Kentucky

Mississippi

Missouri

Tennessee

Total Nonagricultural

–4.0%

–4.1%

–2.3%

–4.6%

–5.1%

–4.3%

–3.1%

–2.7%

–4.6%

Natural Resources/Mining

–4.9

5.8

10.1

3.0

2.5

10.0

0.0

–2.0

#NA

Construction

–13.7

–12.0

–4.8

–13.5

–13.1

–18.5

–5.7

–9.6

#NA

Manufacturing

–11.7

–13.2

–10.5

–11.8

–17.1

–15.4

–11.0

–10.9

–12.6

Trade/Transportation/Utilities

–4.6

–3.9

–4.9

–3.9

–4.1

–3.3

–3.0

–2.7

–4.9

Information

–4.9

–5.0

–9.8

–6.3

–2.9

–2.2

–2.5

–1.5

–8.4

Financial Activities

–5.0

–4.0

–5.3

–4.7

–2.6

–2.8

–5.4

–2.2

–5.0

Professional & Business Services

–6.6

–6.6

–3.0

–8.0

–7.7

–5.6

–8.9

–3.4

–6.3

2.2

1.9

5.2

0.7

2.9

0.7

1.8

2.0

2.4

Leisure & Hospitality

–2.4

–1.7

1.5

–3.6

0.8

0.5

–3.0

–2.4

–1.7

Other Services

–2.2

–2.7

–2.0

–1.7

–4.0

–2.4

–2.0

–3.6

–3.3

0.5

0.5

2.1

0.1

–0.5

–1.2

2.2

1.3

1.1

Educational & Health Services

Government

* NOTE: Nonfarm payroll employment series have been converted from the 1987 Standard Classification (SIC) system
basis to a 2002 North American Industry Classification (NAICS) basis.
†

E ighth District growth rates are calculated from the sums of the seven states. For Natural Resources/Mining and Construction categories, the data exclude
Tennessee (for which data on these individual sectors is no longer available).

district real gross state product by industry–2008

U nemployment R ates

United states....$11,524 billion

II/2009

I/2009

United States

9.3%

8.1%

5.4%

Arkansas

6.9

6.4

4.9

Illinois

9.9

8.5

6.4

Indiana

10.4

9.6

5.4

Kentucky

10.5

9.3

6.2

Mississippi

9.3

9.1

6.7

Missouri

8.8

8.4

5.7

10.5

9.1

6.2

Tennessee

| district total....$1,408 billion

chained 2000 dollars

II/2008

Information 4.8%

Financial Activities

17.1%

Trade
Transportation
Utilities

20.8%

Professional and
Business Services

11.9%
8.1%

17.9%
Manufacturing

Education and
Health Services
Leisure and
Hospitality 3.5%

10.0%

Construction 2.9%

Other Services 2.2%

Natural Resources
and Mining 1.6%

Government

H ousing permits / second quarter

REAL PERSONAL INCOME* / first QUARTER

year-over-year percent change in year-to-date levels

year-over-year percent change

–47.0

–24.2
–65.6

Illinois
–36.6
–34.0

Indiana

–31.8

2009

–45

0.2
1.5

0.3
1.2

–15

2008

All data are seasonally adjusted unless otherwise noted.

0

PERCENT

1.9
2.1

1.1
0.3

Tennessee
–30

1.8

0.8

–0.3

Missouri

–37.6
–41.1

–60

–0.2

Mississippi

–43.7
–40.0

–75

1.6

Kentucky

–31.9

–40.7

0.8

Arkansas

–15.2

–47.1

–43.3

0.1

United States

–32.1

–0.5
2009

0.0

0.5

0.8

1.0

1.5

2.0

2008

*NOTE: Real personal income is personal income divided by the PCE
chained price index.

2.5