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REGIONAL ECONOMIC ISSUES
Working Paper Series

Com m unity D evelopm ent-Fiscal Interactions:
Theory and Evidence from the Chicago A rea
William H. Oakland and William A. Testa

FEDERAL RESERVE BANK
OF CHICAGO



WP- 1995/7

Community
Theoiy

D e v e l o p m e n t - F i s c a l Interactions:

a n d E v i d e n c e f r o m the C h i c a g o A r e a

William H. Oakland and William A. Testa*

This study assesses the relationship between residential tax burdens and the
process of business growth in Chicago metropolitan area suburbs. Itcorrects
for the methodological shortcomings of previous studies through the
development of an explicit model of local community behavior and through
the use of a more complete measure of local tax burdens. The fragmented
character of local government in the Chicago area provides an excellent
laboratory for studying the local fiscal impacts of growth.
This study is not limited to this single, albeit important, issue. It also
addresses the question of the mechanism through which business development
impacts local taxes and expenditures. Is the fiscal impact of business
development primarily through itseffects on the community tax base, or does
italso have importantexpenditure effects? Are the fiscalbenefits ofeconomic
development manifested in greater public services or private goods and
services? Only in the former case would the fiscal benefits take the form of
lower local tax rates.
♦The authors are, respectively, assistant vice president at the Federal Reserve Bank o f Chicago and
professor o f econom ics, Tulane University. This paper is drawn from a research project supported
by the Metropolitan Planning Council and the Federal Reserve Bank o f Chicago. The materials
and findings presented here are attributable to the authors and not to their respective employers.
At the Federal Reserve Bank o f Chicago, David R. Allardice provided both direct assistance and
program support. The authors would like to thank the following people for research assistance:
Virginia Carlson, Xiao Chen, Richard Kaglic, and Robert McNamara. Thanks also to Jeny Szatan
for his work on project organization, and for helpful comments. The authors also received helpful
comments from members o f the Regional Development Committee and the Technical Advisory
Group o f the Metropolitan Planning Council. Guidance on publicly available data was given by
the staff o f the Property Tax Division o f the Illinois Department o f Revenue and the Illinois
Department o f Employment Services.

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1

We also address the issue of whether favorable fiscal consequences of
economic development come partly at the expense of neighboring
communities. This can happen ifjob creation in one community leads to
population increases in other communities which in turn give rise to higher
service demands than increased tax revenues. Such an eventuality raises the
specter that growth policies that look attractive to one land-use authority may
lead to negative economic consequences for the region as a whole.

The Theoretical M odel
Budget constraint
The most basic relationship influencing the relationship between property tax
rates and business development stems from the budget identity. This states
that

(1)

t(Br+Bn) + O = E,

where:
t

=

property tax rate,

Br =

assessed value of residential property,

B" =

assessed value of business property,

0

=

other revenues, and

E

=

expenditure.

By the budget identity, ifotherfactorson the right-hand side of (1) remain the
same, an increase in business property would allow the community to reduce
its tax rate. These other factors, however, may not remain the same. Thus,
it is necessary to incorporate expenditure behavior into the model.

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2

Expenditure Behavior
An increase in business activity may require a community to increase its
outlays for business services, such as highways, police, fire, etc. If there
remains any surplus revenue, the community may also choose to expand
services to its residents. Spending for residential services may also increase
if new population is attracted by the increased employment opportunities.
Finally, an increase in business tax base may cause a reduction in the "price"
of residential public services. In effect, a larger share of any additional tax
levies would be borne by the business community. Hence, the public may
support an expansion of public consumption. Thus, there are several avenues
through which an increase in business activity can stimulate public
expenditures. These remarks can be formalized as follows:

=

E" + Er,

(2)

E

(3)

E" =

E"(W),

(4)

Er =

Er(N,p,Y,C,H),

E" =

business public services,

Er =

residential public services,

W

=

employment within the jurisdiction,

N

=

population of the jurisdiction,

Y

=

per capita income within the jurisdiction,

C

=

other relevant community demographics,

H

=

average house value within the jurisdiction, and

P

=

residential share of property tax base, Br/ (Br+ Bn).

where

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Equations (3) and (4) correspond to the demand for services by the business
and residential sectors, respectively. Business services depend upon
employment within the jurisdiction. Residential services depend upon
community population, "price” of public services, income, and wealth within
the community. The latter is represented by average house price while the
"price" of public services is measured by the residential share of the property
tax base.1 Like the demand for private goods and services, a reduction in the
price of public services is expected to lead to an expansion in the public's
demand for such services.
To sum up, the expansion ofbusiness activity can impact expenditures through
several routes: (1) directly, by increasing the need for services to support the
business; (2) indirectly, by increasing the local population; and (3) indirectly,
by lowering the "price" of public expenditures.

Population
The population of a community will reflect the number of people who seek to
live there, population supply, and the number of people existing residents
would like to accommodate, that is population demand.
The population seeking residence within a community will depend upon the
job opportunities both within the community and in itsenvirons. The latter is
a potential important source of fiscal inter-relationship among neighboring
communities, particularly ifnew population fails to cover its full expenditure
costs.
Population supply may also respond the fiscal environment; high tax rates will
discourage population while ample and high quality public services will attract
population. Finally, environmental quality and access to the CBD will
influence population supply levels.5

(5)

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Ns =

N(t,W,Wn,e,Q),

4

where

Ns =

population supply,

W" =

employment in surrounding jurisdictions,

e

=

per capita public expenditures, and

Q

=

community amenities (distance to CBD,
crime rate, congestion, etc.).

Population demand, on the other hand, ismore difficultto pin down, to a large
measure because such behavior is associated with tastes, as opposed to
objective factors. Some communities may seek to exclude new residents
because of the fear of congestion or crime. They may also fear that the new
residents will not cover their full fiscal costs. Or they simply may seek
exclusivity. All of these factors are likely correlated with income and wealth.
A community predominantly inhabited by high-income individuals would have
to subsidize the public services ofnew entrants whose incomes fall short ofthe
community norm. They would also lose exclusivity ifless fashionable housing
were to accompany new migrants. To avoid such outcomes, the governing
authority may enact large lot zoning and restrictions to rental property. Thus,

(6)

N d = Nd(H,Y).

The actual population of a community (equilibrium) will balance the supply
and demand factors. Unlike most markets, where price adjusts to equate
demand and supply, no such mechanism exists. Rather, the outcome will be
a weighted outcome of the two sides, with the weights reflecting the relative
political strength of developers and existing residents. Thus,

(7)

N

with

0 < a < 1.

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= a*Ns+ (l-a)*Nd,

5

Business activity
L ike population, there are separate forces controlling the dem and for b u sin ess
location and the supply o f b u sin ess sites w ithin a com m unity.
On the dem and side, the level o f b u sin ess activity w ithin a com m u n ity w ill
depend, in part, upon the tax rate it faces. W hile local taxes m ay not be the
m ost sign ifican t elem en t o f a firm's co sts, it is one over w h ich it m ay have
considerable control through its ch o ice o f b u sin ess location. W h ile labor co sts
m ay be m ore important to a firm's bottom line, there is little they can d o to
control them ; w age le v e ls tend to be relatively uniform w ithin a m etropolitan
eco n o m y .
B u sin ess dem and m ay also be stronger i f there is an am ple labor p o o l from
w h ich to draw e m p lo y ees, and i f there is g o o d a c cess to markets. E xam ples
o f the latter are: distance to the C B D , proxim ity to freew ay interchanges, and
am ount o f econ o m ic activity nearby.

(8 )

Wd =

W d(t,N ,N n,W n,A ),

N"

=

neighboring population, and

A

=

b u sin ess am enities.

w here

O n the supply side, b u sin esses w ill be attractive to com m u n ities b ecau se o f the
tax revenue they provide as w ell as jo b opportunities for residents. H ow ever,
com m u n ities m ay have to pay a price for th ese advantages. Greater b u sin ess
a ctivity m ay be accom panied by increased co n gestion and environm ental
degradation.
The w illin g n ess to trade o f f such am en ities for the fiscal
advantages w ill be in versely correlated w ith in com e w ealth, and e x istin g
em p loym en t le v e ls (co n g estio n ) and p o sitiv ely w ith the prevailin g tax rate
(m easuring the need for fiscal relief).

(9 )

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W* =

W s(t,Y ,H ).

6

T he actual ou tcom e w ill be a w eigh ted average o f the dem and and supply
factors
(1 0 )

W

=

b*W d + (l-b )* W s
0 < b < 1.

It w ill be noted that the tax rate enters both the dem and and supply sid es, w ith
o p p osite effects.
It is because o f this that studies som etim es find little
relationship b etw een fiscal p o licies and bu sin ess location. C om m u n ities m ay
be w illin g to e sc h e w the fiscal w in d falls provided by b u sin ess, b ein g m ore
concerned w ith environm ental matters. O ften such com m u n ities h ave lo w
property tax rates, thereby confounding the em pirical relationship b etw een tax
le v e ls and b u sin ess location.

Recapitulation
The four relationships described ab ove provide a general equilibrium
fram ework w ithin w hich the issue o f the fiscal co n seq u en ces o f eco n o m ic
d evelop m en t can be investigated. T his m odel m akes ex p licit the im portant
interrelationship betw een econ om ic developm ent, public expenditures, tax rates,
and population. It further enables us to identify and understand the various
lin k ages that ex ist betw een these important m agnitudes.
F inally, it
dem onstrates the potential w eak n esses o f em pirical studies w hich fail to a llo w
for im portant feedback effects. N ot on ly w ould this result in statistical bias,
but it m ay lead to m isunderstanding o f cause and effect relationships.

Some Complications
The preceding theoretical m odel id en tifies those variables that im p in ge on the
relationship b etw een the property tax rate and com m ercial and industrial
d evelop m en t. T he theoretical m odel w ill have to be m o d ified to reflect data
availability and the fact that property taxes w ithin a m u n icip ality are lev ied by
num erous overlapping governm ents.
B egin n in g w ith overlapping governm ent, an increase in b u sin ess property w ill
in flu en ce the tax rate o f the m unicipality by the am ount indicated by the
budget identity in equation (1). H ow ever, for those overlapping ju risd iction s,
the potential reduction in the property tax rate depends upon the siz e o f the
property tax base w ithin the m unicipality in com parison w ith that o f the

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overlapping district. S u ppose, for exam p le, that n ew b u sin ess d evelop m en t
w o u ld increase the siz e o f the m unicipal property tax base b y 50% . T h is co u ld
p oten tially reduce the tax rate lev ied b y the m unicipality b y 50% . H ow ever,
su p p ose that the n ew b u sin ess d evelop m en t o n ly am ounts to 10% o f the
property tax base o f the sch ool districts w hich overlap the m unicipality. T his
w o u ld o n ly perm it a reduction in the sch o o l tax rate o f o n ly 5%.
T he reason for the discrepancy b etw een the tw o e ffects is that the tax base
b en efits o f the n ew b u sin ess d evelop m en t is shared w ith residents ou tsid e o f
the m u n icip ality for sch ool tax purposes but accrues entirely to m u n icip ality
residents for the m unicipal lev y .
In effect, the m u n icip ality creates an
externality for surrounding residents. N ot o n ly d oes th is reduce the fiscal
b en efits from b u sin ess d evelopm ent, but it w ill also in flu en ce its w illin g n e ss
to supply b u sin ess sites as h yp oth esized in equation (9 ) o f the theoretical
m od el.
T o take into account the p o ssib le dissipation o f the fiscal b en efits o f b u sin ess
d evelop m en t, a m easure o f the dispersal o f tax base b en efits n eed s to be
d evelop ed . For this purpose, w e em p lo y ed a sim ilar land area im putation as
u sed to obtain the com p osite m unicipal property tax burden. Here* h ow ever,
w e com puted the fraction o f the area served b y the overlapping govern m en t
w h ich is located w ithin the m unicipality. T h ese w ill be aggregated u sin g the
overlapping governm ent tax rate as w eigh ts. T he resulting variable w ill mirror
the degree to w h ich the tax b en efits o f b u sin ess d evelop m en t are captured by
the m unicipality. In turn, this variable w ill in flu en ce equations (1 ) and (1 0 ).

The demand for services provided by overlapping jurisdictions
T he fact that there are num erous overlapping governm ents servin g the
m u n icip ality w ill also influ en ce the dem and for public serv ices b y residents,
as described by equation (4).
T he share o f taxable property w h ich is
residential m ay vary across type o f governm ent. T his is apt to be m ost
im portant for sch ool districts. Thus, the tax price o f a m u n icip ality w ill b e a
co m p o site w h ich reflects the resp ective tax prices o f the sch o o l district and
m u n icip ality governm ents w hich serve m unicipal residents. Sim ilar
considerations apply to incom e and the other dem ographic variables
in flu en cin g residential dem and for public services. H ow ever, data lim itations
preclude a correction for such potential diversity.

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W h ile our data set is rich, it is un lik ely that w e w ill have en ou gh inform ation
to fu lly account for inter-jurisdictional variations in fiscal behavior. It is
p o ssib le, therefore, that w e m ight erroneously im pute to bu sin ess d evelop m en t,
effects w hich are cau sed b y other variables w hich w e cannot observe, or to
errors in data m easurem ent. Fortunately, the availability o f data at m ultiple
tim e points a llo w s us to sidestep this issu e b y focu sin g upon ch an ges in fiscal
behavior over tim e. M any o f those variables w e cannot observe w ill not
change sign ifican tly over our sam ple period; for exam ple, relative locational
advantages are slo w to change. Sim ilar errors in m easurem ent caused, say by
our land area im putations, m ay be relatively constant, and thus not in flu en ce
changing behavior over tim e.
F ocu sin g upon ch an ges over tim e is also com patible w ith our
fiscal effects o f b u sin ess grow th. C om m unities w hich c h o o se to
le v e ls o f com m ercial d evelopm ent say because o f environm ental
m ay n everth eless react sim ilarly to changes in business activity.

interest in the
have different
consideration,
M oreover, the

im pacts o f develop m en t are lik ely to e v o lv e w ith tim e. Such adjustm ents are
best captured by an approach w hich fo cu ses upon change as o p p o sed to
differen ces in b ehavior am ong disparate com m unities.

Does Business Development Raise Taxes: Methodology
T he unit o f observation for the study is the m unicipality. Our sam ple c o n sists
o f incorporated m unicipal governm ents in the six cou n ties w h ich share a
com m on border w ith C ook C ounty, including C ook itself, w ith a population
in e x c e ss o f 10,000. B ecau se o f its size and eco n o m ic maturity, the city
C h icago is exclu d ed from the sam ple. The m unicipality is ch osen , rather than
say, sch o o l districts, because significant control over land use is v ested w ith
this governm ental entity. B ecau se the sam ple ex clu d es the m any sm aller
m un icip alities in the six county region, the study's results m ay not apply to
such areas.
The period o f observation is roughly 1980-1990. The period is not precise
b ecau se so m e data w ere available on ly for the C ensus years 1979 and 1989,
or for the fiscal years 1981 and 1991.
For each m unicipality, an aggregate property tax rate has been com p iled . The
ex isten ce o f num erous overlapping local ju risd iction s m ake it n ecessary to
estim ate an aggregate tax rate or tax burden, w hich w o u ld reflect the com b in ed

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9

burden o f the separate property tax le v ie s im p osed w ithin the boundaries o f a
m unicipality. T h is w as a ccom p lish ed b y overlayin g m aps o f each typ e o f
ju risd iction upon that for the m unicipality in question.

T he fraction o f a

m unicipality's tax base w h ich w as subject to the property tax le v y o f an
overlapping jurisd iction o f a particular typ e (for exam p le, sch o o l district) is
a ssu m ed equal the fraction o f m unicipal land area accou n ted for b y that
particular jurisdiction.
T h ese aggregate tax rates burdens have been further refined to reflect
d ifferen ces in a ssessm en t practices and differen ces in the in cid en ce o f m ajor
tax exem p tion s, such as the hom eow ners exem ption. T his en ab les us to
estim ate an effe c tiv e rate o f tax on residential property as w ell as an e ffe c tiv e
tax rate relative to incom e.
B u sin ess grow th w ithin a m unicipality w ill be m easured
the grow th o f
com m ercial and industrial a ssessed value and by aggregate em p loym en t.

Measures of tax burden
Three m easures o f tax burden are considered: (1 ) the statutory property tax rate
that is applied to eq u alized a ssessed value, and hereafter d enoted as trate; (2 )
e ffe c tiv e tax rate on o w n er-occu p ied housing, denoted as rate; (3 ) e ffe c tiv e tax
rate in term s o f in com e, denoted as burden. Each o f th ese m easures is
interesting in its o w n right. Trate is o f interest b ecau se it is the m easure set
b y local govern in g authorities; it is also the tax rate applied to com m ercial and
industrial property. Rate is o f sig n ifica n ce b ecau se it reflects the degree to
w h ich residential property is taxed and is relevant to d ecisio n s to build or
im prove residential property. F inally, burden is o f sig n ifica n ce b ecau se it
m easures the average sacrifice required o f hom eow n ers w ithin a com m unity;
increases in this m easure im ply that le ss funds are availab le for private
consum ption.

M athem atically, th ese

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can be represented as follow s:

trate

=

R PT A X / E A V R E S ,

rate

=

R PT A X / F V R E S,

burden

=

R P T A X / INC,

10

where
R PT A X

aggregate residential property tax paym ents,

EAVRES

aggregate equalized a ssessed value o f
residential property,

FV R E S

aggregate market value o f residential property, and

INC

aggregate incom e.

S im p le algebraic m anipulation reveals the fo llo w in g relationships am on g th ese
m easures o f tax burden.

trate

=

rate * (E A V R E S / FV R E S)

burden

=

rate * (F V R E S / INC)

The term (E A V R E S /F V R E S ) is com m on ly know n as the assessm en t ratio,
w h ile (F V R E S /IN C ) is the average ratio o f house value to in com e. The
assessm en t ratio differs am ong com m unities despite efforts by the State Board
o f E qualization to keep them uniform . The ratio o f hou sin g valu e to in com e
w ill d iffer becau se o f underlying d ifferen ces in land valu es and the average age
o f h ou sin g stock. C on ceivab ly, m ovem en ts in these indicators o f tax burden
m ay not necessarily agree.

Empirical Model Specification
T he em pirical m odel con sists o f four major sections; (1 ) tax burden; (2 )
population; (3 ) em ploym ent; (4 ) hou sin g appreciation. A ll but (4 ) have been
d ev elo p ed in the theoretical m odel. The last, being static, is unable to treat
dynam ic elem en ts such as ch an ges in h ousing price.
Like the sim p le
correlation analysis, focus w ill be upon explaining percentage ch an ges in tax
burden m easures.
C onsequently, m any o f the m o d el’s variables w ill
th em selv es be expressed in term s o f percentage changes.

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Tax burden
T he tax burden section co n sists o f tw o m ajor relationships and a quasi-reduced
form. The first relationship is predicated upon the com m unity's fiscal budget
constraint. B y th is con d ition , Irate can be expressed as

(1 1 )

trate = (Expenditure - Other R even u e) / E A V .

Ignoring, for the m om ent, other revenue, trate is seen to d epend upon
expenditure behavior and tax base grow th. In growth term s, w e have

(1 2 )

chtrate = grexp - grE A V ,

w here ch or gr sig n ify percentage change.

The tw o com p on en ts o f the tax

burden section , then, are estim ating equations for expenditure and E A V .
B y our p revious d iscu ssion in the theoretical section , grexp is a ssu m ed to
depend upon the grow th o f population, grow th o f in co m e, grow th o f
em p loym en t, tax price, and relevant dem ographics.

(1 3 )

grexp = (grin c(+),grpop (+),grem p (+),taxp rice(+),d em o) + uexp,

w here, for notational eco n o m y , w e have ch osen to suppress the c o e ffic ie n ts o f
the right-hand side variables, and u is an error term. T he ex p ected sign o f the
variable is indicated in parenthesis. It should be noted that w e have included
the level o f tax price rather than its change as the m odel m ight oth erw ise
su ggest. The le v e l variable is included to capture com p osition al e ffe c ts upon
expenditure. T his w ill occur i f expenditure dem ands by ex istin g residents and
b u sin ess increase at different rates. Such w ou ld be the ca se i f g ro w in g real
in com e leads to higher residential dem ands for services, w ith b u sin ess dem ands
h old in g relatively constant. In this ca se, com m u n ities w ith high tax prices
w ill, other things constant, also exp erience higher tax rate grow th. H en ce, our
ex p ected sign for tax price is p ositive.

A change in tax price variable is

deliberately om itted from the sp ecification o f (1 3 ) becau se its effe c ts w o u ld be

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12

captured b y the grem p and grpop variables. T o include it as a separate factor
w o u ld be to in vite serious m ulti-collinearity, i f not singularity.
T he variable grE A V is assum ed to depend upon th ose factors in flu en cin g the
grow th o f the tax base: grow th o f population, em ploym ent, in com e, and h ou se
price. In addition, it w ill depend upon the lev el assrat and change in the
assessm en t ratio (ch ass) for residential housing. F inally, sin ce C ook C ounty
has a c la ssified assessm en t system under w h ich b u sin ess property is m ore
h igh ly a ssessed , it w ill depend upon w hether the m unicipality is located in
C ook C ounty, for w hich w e use a dum m y variable.

(A 1)

grE A V =(grinc(+),grpop(+),grem p(+),grhpric(+),
cook (+),assrat(+),(grass(+ )) + uc,v.

A ll variables in this equation are exp ected to have a p o sitiv e sign.
B ecau se w e are not able to observe expenditures, w e cannot estim ate (1 3 )
directly. W e can on ly estim ate it indirectly through substitution into (1 2 ).
A ccord in gly, our tw o "structural” equations in the tax burden section are ( A l )
and
(A 2 )

grtrate=(grinc(+),grpop(+),grem p(?),taxprice(+),dem o,grE A V (-)
trate(-),cook(?) + e,.

The change in taxprice term is suppressed in (1 7 ) becau se, g iv en grE A V , it is
h igh ly correlated w ith gremp.

S p ecifically,

chtaxprice = grbus - grE A V ,
B ecau se w e are unable to include the change in tax price as a separate
variable, w e are unable to separate the taxprice and direct b u sin ess service
dem and associated w ith gremp.
S ince taxprice ch an ges should have a
dam pening effect on expenditure (due to elasticity), w e are unable to p lace a
prior on the sign o f grem p in (A 2). F inally, w e add tw o term s, the initial
statutory tax rate and a dum m y for C ook C ounty. The form er is included
b ecau se the expenditure equation is a relationship for "desired” increases in
expenditure. I f a com m unity already has a high tax rate, it m ay fear lo sin g tax
base to com p etin g jurisdiction. M oreover, som e com m u n ities operate at their
tax rate lim its, beyon d w hich they m ust seek voter approval for tax rate
increases. O fficia ls in high tax rate lo ca lities m ay hesitate to seek such
approval and/or voters m ay refuse to grant such approval. T ax rates for m any

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13

sp ecial districts are d efacto m andated b y state law and thus cannot be changed.
T he C ook C ounty dum m y variable is introduced b ecau se o f its cla ssifica tio n
sy stem for b u sin ess property. H ere the statutory tax rate understates b u sin ess
tax le v e ls and overstates residential tax lev els. T herefore, resistance to higher
tax rates w ill be lo w er in com m u n ities w ith a relatively large non-residential
base. T hus, it is not p o ssib le to place a prior sign on the C ook C ounty dum m y
variable in (A 2 ).
In addition to the tw o structural equations, w e a lso have the sem i-red u ced form
for th is sector w h ich w e obtain b y com b in in g ( A l ) and (A 2 ).

(A )

grtrate=(grinc(?),grpop(?),grem p(?),grhpric(-),taxprice(?),dem o,
chass(-),trate(-),cook (?)) + uA.

E m pirically, ch ass is h igh ly correlated w ith c o o k and assrat and is as w e ll
correlated w ith other elem en ts o f (A ). H en ce, it is not e x p licitly inclu d ed in
the estim ation process. Sim ilarly, c o o k and assrat are very h ig h ly correlated,
lead in g us to include one or the other, but not both w hen estim atin g (A ).
It appears that eco n o m ic theory p rovides us w ith few priors on the sig n s o f th is
sem i-red u ced form. A s a result, w e m ay w ell find the a b sen ce o f statistically
sign ifican t relationships b etw een the grow th in tax burden and such variables.
H ow ever, theory d oes predict that the sign o f h ou se price appreciation w ill be
p o sitiv e and that the sign o f the initial tax rate w ill be negative. O therw ise,
the data w ill have to speak for th em selves.

Alternative tax burden measures
T he sp ecification o f the tax burden sector for the alternative m easures o f tax
burden fo llo w directly from the preceding m odel. For the e ffe c tiv e tax rate on
h ou se value, w e have the relationship
chrate = chtrate + grass.
In other w ords w e need o n ly add a term to reflect the grow th o f the
a ssessm en t ratio to the right hand side o f (A ) above. But, sin ce, it already
e x ists, w e have b asically the sam e equation, w ith the ex cep tio n o f the initial
tax rate term, w hich w ou ld substitute rate for trate.

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Sim ilarly, for the effe c tiv e tax rate on in com e, burden, w e have the fo llo w in g
chburden = chrate + chpric,
w here h p iic is the ratio o f average house price to per capita incom e.

B ut in

chhprinc = grhpric - grinc,

each o f the right-hand term s is already included in (A ). N ote, how ever, that
the prior sign on grinc w ill be changed i f the c o efficien t in (A ) assu m es a
value le ss than one. In this case, the sign o f in com e w ill be negative.

Population
F o llo w in g the theoretical m odel, the fo llo w in g equation can be d ev elo p ed for
population.

(B )

grpop=(grem p(+),grem pn(+),grhpric(-),chtrate(-),trate(-),schexp(+),
h p rice(-),renters(+),density(-),annex(+)) + uB,

w here
grem pn = grow th o f nearby em ploym ent,
grhpric = grow th o f hom e prices,
trate

= statutory tax rate 1981,

sch exp

= per pupil current expenditure, 1981,

hpric

= average hou sin g price 1981,

renters

= percentage renters, 1980,

density

= population density, 1980, and

annex

= change in land area.

T he renters and density variables are included to proxy for com m unity attitudes
tow ards n ew residents. L ow density m ay be a signal that a com m u n ity
ad vocates large lot zon in g, w h ile a lo w rental share m ay identify com m u n ities
seek in g to k eep out high -cost populations. Growth in land area is included for
o b v io u s reasons. O therw ise, the specification o f (B ) fo llo w s directly from the
theoretical argument.

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Employment
T he theoretical m odel su ggests the fo llo w in g equation for the grow th o f
com m u n ity em ploym ent.

(C )

grem p=(grpop(+),grpopn(+ ),grem p n,trate(?),chtrate(?),
c o o k (-),lo ca t(+ ),in c(-),d issip (-)) + uc,

where:
gropn

= grow th o f nearby population,

co o k

= dum m y variable for co o k county,

locat

= locational advantages,

inc

= average in com e, 1980, and

d issip

= dissipation index.

T he population term s are included to reflect a ccess to labor m arkets, w h ile the
em p loym en t variable attempts to m easure inter-industry supply relationships.
C ook C ounty is included to reflect its cla ssified a ssessm en t practice w h ich
discrim inates against b u sin ess and industry. The in com e variable represents
dem and for environm ent, and the d issipation index reflects the degree o f
leak age o f b u sin ess tax base to surrounding ju risd iction s. T he latter variables
attem pt to m easure the w illin g n ess to supply sites to n ew b u sin esses. V arious
m easures o f locational advantage are used, including the standard distance
from C B D and h igh w ay a ccess variables. H ou sin g price, sin ce it is h ea v ily
in flu en ced by land valu es, w ill be u sed as a proxy for locational advantages.
F in ally, n o prior sign is placed on the tax variables b ecau se high taxes m ay
increase supply o f sites in addition to raising co sts o f d oin g bu sin ess.

Price appreciation
U p to this point w e have not sp ecifica lly addressed the determ inants o f price
appreciation.
L ike m ost things, h ou se prices reflect supply and dem and
considerations. T his, together w ith data availability, led to the fo llo w in g
sp ecification .
(D )

griipri=(grinc(+),chtrate(-),grem p(-),trate(-),inc(+),hprice(?)
em p p o p (-),d en sity (+ ),d ista n ce(+ ),h ig h w a y (+ )) + uD,

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where:
em ppop

= ratio o f em p loym en t to population, 1980,

density

= population per sq m ile, 1980,

inc

= per capita incom e, 1980,

hprice

= average h ousing price, 1980,

distance

= distance to the L oop, and

h igh w ay

= a ccess to expressw ay.

H ou sin g appreciation should be more rapid the greater the grow th in resident
in com e, but low er the greater the grow th o f tax rates (capitalization effect).
It should also be low er in com m unities w ith rapid eco n o m ic d evelop m en t,
reflecting con gestion grow th and environm ental degradation. A lso included are
a group o f am enity variables: including the ex istin g tax rate, in com e,
em p loym en t saturation, population density, density, and h igh w ay a ccess.
T h ese variables cou ld be exp ected to in fluence the lev el o f house prices, and
also their rate o f grow th i f prices adjust gradually.

Statistical Results
Each o f the m od els A -D above, as w ell as the structural equations A1 and A 2 ,
w as estim ated using ordinary least squares (O L S) and tw o-stage least squares
(2 S ).

Tax burden sector-structural relationships
( A l ) grow th o f assessed value (see Table A l )
T he O L S estim ates all carry the exp ected sign and are all but one sign ifican t
at the 99% lev el o f con fid en ce, and the last, co o k , is sign ifican t at the 95%
lev el. M oreover, the overall fit is quite go o d , w ith 82% o f the variance in
E A V h avin g been accounted for. T his su ggests that the proxies for tax base
grow th are quite adequate.
C o efficien ts can be interpreted as partial elasticities. T hus, a 1% increase in
population is associated w ith a .66% increase in E A V . Sim ilarly, a 1%
increase in em p loym en t is leads to a .17% increase in the taxable base. T hus
eco n o m ic d evelop m en t has clear tax base im pacts. T he discrepancy in siz e o f
elasticity w ith population should not be overstated b ecau se the tw o m ovem en ts
are lik ely to g o hand in hand.
C om m ercial d evelop m en t often fo llo w s

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residential develop m en t, w h ile industrial d evelop m en t m ay g iv e rise to
residential develop m en t. The c o efficien t on c o o k su g g ests that grow th o f
taxable base is 4 .3 percentage points higher than otherw ise.
T he 2 S estim ates are not quite as accurate, nor are the c o e ffic ie n ts o f
grhpri,chass, or c o o k sign ifican t at the sam e le v e ls o f co n fid en ce as for O L S.
H ow ever, tw o o f the three are still sign ifican t at the 90% lev el. T he fact is that
there is considerable colinearity am ong th ese three variables. T he point
estim ates for population grow th and em p loym en t grow th are c lo se to their O L S
counterparts, su g g estin g the sp ecification is robust. The upshot is that the pre­
con d ition s necessary for favorable tax co n seq u en ces o f eco n o m ic d evelop m en t
are m e t-a n increase in the com m unity's tax base.
(A 2 ) Statutoiy tax rates (se e Table A 2 )
T he O L S estim ates reveal a g o o d fit w ith nearly 60% o f the variance
accou n ted for.2 A s exp ected , the grow th o f the tax base, G R E A V , exerts a
strong and n egative in flu en ce on statutory tax rates, w hen expenditure effect
are h eld constant. The initial tax rate, trate81 also perform s as exp ected ,
dem onstrating the p ow er o f fiscal constraint and tax rate lim itations. T he
co effic ie n t poin ts to strong regression to the m ean. T he C ook dum m y is
strongly p o sitiv e and significant, im p lyin g a p o sitiv e tax rate grow th
differential o f nearly 15 percentage points. T h is su g g ests that sp en d in g caps
in C ook county m ay be less binding than in the "collar" cou n ties.
A s for expenditure determ inants, population grow th clearly p la ces a strong,
p o sitiv e dem and upon local public services. T he situation for em p loym en t
grow th, h ow ever, is le ss certain. W h ile the c o efficien t is p o sitiv e, it is not
sign ifican t u sin g normal standards for statistical sig n ifica n ce. M oreover, its
absolute size is less than on e tenth o f the population figure, su g g estin g o n ly
m od est service dem ands by bu sin ess. A s m entioned ab ove, h ow ever, the
c o e ffic ie n t on em p loym en t m ay reflect tax price effects as w ell as b u sin ess
service effects. A s for tax price, it contributes to the grow th o f taxation, as
exp ected . T h ose com m u n ities w ith lo w b u sin ess shares suffered h igher tax
increases over the period. Thus, there m ay be a dynam ic b enefit from b u sin ess
grow th not anticipated by static m od els.
Initial average hom e valu e is
n eg a tiv ely correlated w ith expenditure grow th. T his is le ss surprising than for
in com e, sin ce it m ay sim p ly reflect reduced n eed for public serv ices in
bedroom com m u n ities w ith large, e x p en siv e h om es. Finally, a renter variable,
m easuring the share o f h ou sin g units rented, is d esign ed to test w hether renters
are m ore lik ely to support public serv ices than hom eow n ers.

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T he O L S

18

estim ates su g g est so m e support for this hypothesis, though sig n ifica n ce falls
m arginally short o f the 90% level.
A ll in all, the O L S equation is con sisten t w ith prior exp ectation s and fails to
sh o w sign ifican t expenditure burdens im p osed b y b u sin ess grow th, w h ile
pointing to sizeab le expenditure effects o f population grow th.
A s w ith the E A V equation, the 2 S estim ates are less p recise than for the O L S.
B y and large, how ever, the qualitative findings are unchanged. Certain o f the
co efficien ts, how ever, are seen to be sen sitive to the estim ation technique. T he
c o efficien t on E A V is considerably increased in absolute value. T his should
not b e surprising sin ce the O L S estim ates are in flu en ced by feedback from tax
rate grow th to E A V growth. H ence, the 2S c o efficien t m ay be m ore
representative. A sim ilar observation applies to population grow th, though to
a lesser degree. The 2S estim ates su ggest an even larger expenditure e ffe c t o f
population grow th.
Furthermore, any marginal in flu en ce o f em p loym en t
grow th disappears altogether.

Tax burden sector—semi-reduced forms (see Table A3)
Statutoiy tax rates
O n ce the E A V variable is elim inated from the estim ating equation, the
precision o f the estim ates falls. N everth eless, the O L S equation con tin u es to
exp lain m ore than 50% o f the variance o f the dependent variable.
U nfortunately, the co efficien ts o f a number o f k ey variables, such as
population and em ploym ent b eco m e statistically insignificant. T h is is not
surprising g iv en the offsettin g effects o f these variables through expenditure
and tax base effects.
A s predicted, housing appreciation has led to a decrease in statutory tax rates,
although it barely fails the 90% test o f sign ifican ce in the 2 S m od el. Initial
h ou sin g price continues to depress tax rate grow th, but w ith h a lf o f the force
as in the structural equation. The C ook dum m y and initial tax rate have
sim ilar effe c ts as in the structural equation. The co effic ie n t o f population
grow th is p o sitiv e, though not significant.
The k ey variable, grow th o f
em p loym en t is approxim ately sign ifican t in the O L S estim ate at the 90%
co n fid en ce lev el. Its co efficien t is n egative, im p lyin g som e tax rate b en efits
from em p loym en t grow th. H ow ever, it fails the test for sig n ifica n ce in the
tw o -sta g e version. Thus, these results are too marginal to serve as d efin itive
ev id en ce for im m ediate favorable tax rate effects o f eco n o m ic d evelop m en t.

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H ow ever, the p o sitiv e and sign ifican t co effic ie n t on taxprice su g g ests lo n g
term tax rate b en efits o f eco n o m ic d evelop m en t. T ogether w ith the n egative
co effic ie n t on em p loym en t grow th, this p la ces the burden o f p r o o f o f n eg a tiv e
fiscal co n seq u en ces o f eco n o m ic d evelop m en t squarely on th ose w h o p o sit it.
E ffectiv e tax rate on h ousing
W hen account is taken o f assessm en t variations, there is a m uch clearer
con n ection b etw een em p loym en t grow th and tax burden. In both the O L S and
2S version s, the c o efficien t o f g ie m p is n egative and sign ifican t at the 95%
le v e l o f con fid en ce. The 2 S estim ate is larger that the O L S, im p lyin g that a
1% change in em p loym en t grow th is accom p an ied b y a .12% reduction in
e ffe c tiv e tax rate grow th. W hile this effect is m odest, it is by no m eans trivial.
The c o efficien t on population grow th, another variable o f great interest, is
p o sitiv e but fails the sig n ifica n ce test. Thus, it is not p o ssib le to infer that
population grow th w ill have im m ediate n egative e ffectiv e property tax rate
co n seq u en ces. H ow ever, the p o sitiv e c o efficien t on taxprice poin ts to lo n g
term c o sts o f population grow th (w ithout accom p an yin g em p loym en t grow th).
T hus, the w eig h t o f ev id en ce w o u ld seem to b e against the proposition that
population grow th typ ically has p o sitiv e effe c tiv e tax rate co n seq u en ces.
H ou sin g appreciation has n egative tax e ffects in the O L S version, provid in g
so m e that assessm en t lag hypothesis.
H ow ever, in the 2S version , the
co effic ie n t is insignificant.
F in ally, the rental variable is strongly sign ifican t for both the O L S and 2 S
m ethods. T his adds credence to the contention that renters are m ore prone to
support public expenditure, perhaps b ecau se they b eliev e their landlord p ays
the tax.
E ffectiv e rate on in com e
For the in com e m easure, there is apparently little con n ection b etw een
em p loym en t grow th and tax burden. For neither estim ation technique is grem p
statistically sign ifican t. Indeed, in the 2 S version, the co effic ie n t is positive!
Here, h ow ever, there is ev id en ce o f a p o sitiv e tax burden im pact o f population
grow th. A 1% increase in population grow th appears to result in a .25%
increase in tax burden grow th.
That in com e grow th and house appreciation have opposite, sign ifican t im pacts
on tax burden co m e s as no surprise, b ecau se o f the dep en d en ce o f ch b u n len
on the (h ou se p rice)/in com e ratio.
T hus, in com e grow th, h old in g price

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appreciation constant, leads to an decrease in this k ey ratio, and h en ce a
decrease in tax burden. G iven that the absolute value o f the c o efficien t is le ss
than on e, it su g g ests p o sitiv e expenditure effects o f in com e grow th.
For this m easure o f tax burden, both the C ook dum m y and the 1980
assessm en t ratio are included in the equation. W hile the n egative sign o f cook
w as anticipated, the negative sign on assrat co m es as a surprise. Perhaps the
answ er lies w ith som e interaction w ith price appreciation.

Summaiy—tax burden effects
Our em pirical analysis, w h ile largely supporting the underlying m od el, has
provided m ixed ev id en ce concerning the im pact o f eco n o m ic d evelop m en t
upon property tax burdens. I f w e hold constant the tax base co n seq u en ces,
em p loym en t grow th appears to have no tax rate im pact. If w e cou p le this w ith
the fact that em p loym en t growth has significant tax base effects, and the fact
that the expansion o f tax base, holding expenditure determ inants constant, w ill
tend to reduce tax rates, w e arrive at the co n clu sion that the em p loym en t
grow th leads to a reduction in statutory tax rates.
If w e test this hyp oth esis directly, through a sem i-reduced form, w e also find
a n egative association. H ow ever, at best, the statistical sig n ifica n ce o f this
relationship is marginal.
Thus, the errors in the relationship b etw een
em p loym en t grow th and base grow th and that betw een base grow th and tax
rate grow th are su fficien t to w eaken the ultim ate relation betw een em p loym en t
grow th and tax rate grow th. N everth eless, there appears to be sign ifican t lo n g run b en efits o f em p loym en t grow th through its im pact on taxprice. T h ese
b en efits do not accrue im m ediately, but are felt as taxprices are gradually
low ered, reducing tax rate burden o f in com e growth.
For the effe c tiv e property tax rate, how ever, there is no am biguity. There
appears to be a statistically significant negative relationship b etw een
em p loym en t grow th and tax rate growth.
For m any purposes, e ffe c tiv e
property tax rates are a better m easure o f burden than statutory rates. H ence,
w e can advance the proposition that eco n o m ic d evelop m en t has led to a
reduction in property tax burdens in the five county C h icago area.
The tax co n seq u en ces o f the other major type o f develop m en t, that arising
from population grow th, has sim ilar am biguities. T he ev id en ce is clear that
population grow th both increases expenditures and increases property tax
revenues. H ence, the im pact on property tax rates w ill depend upon the
relative strength o f these forces. W ith respect to statutory rates, there is so m e

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e v id en ce o f an adverse im pact on tax rate, but the effe c t fa ils the test o f
statistical sign ifican ce. W e cannot reject the h yp oth esis that there is no
im m ediate p o sitiv e effect on tax rates. H ow ever, w e can reject the h y p oth esis
that there are m ajor im m ediate tax rate b enefits. M oreover, lik e em p lo y m en t
grow th, population grow th has lo n g run im plications via the taxprice effect.
H ere, how ever, the result is to increase long-run tax rates.
T he sam e remarks apply w ith regard to the e ffectiv e tax rate on ow n ero ccu p ied property—the c o efficien ts o f the sem i-reduced form are p o sitiv e but
not statistically sign ifican t from zero. It is on ly i f w e m easure tax burden w ith
regard to in com e can w e u n eq u ivocally argue that population grow th increases
tax rates. Ironically, w e are unable to find p o sitiv e tax co n seq u en ces under
th is m easure for em p loym en t grow th.

Population sector (see Table B)
T he m ost striking aspect o f our estim ates o f population grow th con cern s its
relationship to em p loym en t grow th. W hether w e use O L S or 2 S , em p loym en t
grow th, both lo ca lly and nearby, appears to have a strong p o sitiv e in flu en ce on
population grow th. T hus, population fo llo w s jo b s. (W hether the reverse is
a lso true w ill be taken up in the next sectio n .) It is a lso apparent that
neighboring jo b grow th has a larger effect than local jo b g r o w th -n e a r ly four
tim es as strong. Thus, eco n o m ic d evelop m en t activities o f one's neighbors
p ow erful have im plications for one's ow n residential d evelop m en t.
T h is in
turn m ay have n egative fiscal con seq u en ces depending upon the m easure o f tax
burden adopted. Thus, even i f it is true that em p loym en t grow th p rovid es lo ca l
fiscal b en efits, this d o es not insure that it w ill provide glob al fiscal ben efits.
T he rest o f the population equation g o e s ju st about as exp ected , w ith the
ex cep tio n o f per pupil education spending (w o p ex o p ).
T he sign o f this
variable is the reverse o f w hat w as exp ected . It m ay w ell b e that th ose
com m u n ities w h ich spend ab ove the average also en gage in population grow th
control m easures to a void having to su b sid ize the children o f n ew m igrants.

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Employment sector (see Table C)
U n lik e the findings o f a recent study o f the Philadelphia area, there appears to
be little im pact o f nearby population grow th upon em p loym en t exp an sion.
W h ile the O L S version points to a relationship to o w n population grow th, this
lik ely mirrors the finding in the population equation. W hen the 2 S procedure
is em p loyed , the result disappears.
Thus, it is apparently not true that
em p loym en t fo llo w s p o p u la tio n -w h ic h contradicts a p ie c e o f contem porary
public w isd om . Perhaps this is due to the fact that m uch o f the em p loym en t
grow th over the period w as due to increased labor force participation. Such
jo b s m ay thus have little to do w ith population expansion.
It is interesting to note that high statutory tax rates appear to deter
develop m en t.
C uriously, the C ook dum m y, is p o sitiv e, contrary to
expectations. A s expected, h igh -in com e com m u n ities tend to repel
d evelop m en t. A t the sam e tim e, those com m u n ities w ith high property va lu es
tend to attract n ew developm ent; high property va lu es m ay be a proxy for
locational advantages.
The m anufacturing density variable, w h ich w as
d esign ed to represent com m unity tolerance for environm ental disam en ities, has
the w rong sign . C om m unities rich in m anufacturing tend to have slo w er
em p loym en t grow th. T his variable m ay be proxying for an older suburb, w ith
little vacant space for n ew developm ent.

Housing appreciation (see Table D)
L astly, w e consider the grow th o f inflation adjusted h ou sin g prices.

Our

estim ates su ggest pow erful capitalization effects. Both high initial and rapidly
grow in g statutory rates are associated w ith decreased price appreciation.
Grow th o f in com e, a major dem and for hou sin g services also increases h ou sin g
inflation.
R icher com m unities, m easured by initial in com e b en efit
disproportionately from h ousing price grow th. H ow ever, h old in g in co m e
constant, th ose areas w ith higher initial h ousing prices en joyed le ss rapid
appreciation.
The environm ental variables, em p loym en t saturation
(em p loym en t/p op u lation ) and population density both had the ex p ected sign.
T he form er is a measure o f con gestion and other form s o f environm ental
degradation associated w ith b u sin ess developm ent. F inally, it appears that the
o u tlyin g suburbs b enefited m ost from hou sin g appreciation during the 1980s.

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Study Conclusions
Our em pirical an alysis, w h ile largely confirm ing the underlying m o d el, has
provid ed m ix ed ev id en ce concerning the im pact o f eco n o m ic d ev elo p m en t on
property tax burdens.
I f w e hold constant the tax base co n seq u en ces,
em p loym en t grow th appears to have no observable tax rate im pact through
expenditure channels. I f w e cou p le this w ith the fact that em p loym en t grow th
has sign ifican t p o sitiv e effects on the local property tax base, w e arrive at the
co n clu sio n that the em p loym en t grow th leads to a reduction in statutory tax
rates. I f w e test this h yp oth esis directly, w e also find a n egative association.
H ow ever, at best, the statistical sig n ifica n ce o f this relationship is m arginal.
A pparently, there is su fficien t n oise in the relationship b etw een em p loym en t
grow th and base grow th and b etw een base grow th and tax rate grow th so as
to w eaken the observable relationship betw een em p loym en t grow th and tax rate
grow th.
For the e ffe c tiv e property tax rate, how ever, this matter has reso lv ed itself.
There appears to be a statistically sign ifican t n egative relationship b etw een
em p loym en t grow th and tax rate grow th.
For m any purposes, e ffe c tiv e
property tax rates are a better m easure o f burden than statutory rates. H en ce,
w e can advance the proposition that eco n o m ic d evelop m en t has led to a
reduction in property tax burdens in our sam ple o f C hicago's suburbs.
T he tax co n seq u en ces o f the other major type o f d evelop m en t, that arising
from population grow th, has sim ilar am biguities. Population grow th in creases
expenditures, but it also increases property tax revenues. H en ce, the im pact
on property tax rates w ill depend upon the relative strength o f th ese forces.
W ith respect to statutory rates, there is som e ev id en ce o f an net adverse im pact
on tax rate, but the effect fails the test o f statistical sig n ifica n ce. W e cannot
reject the h ypoth esis that there is no effect on tax rates. H ow ever, w e can
reject the h yp oth esis that there are major tax rate benefits. A sim ilar result is
found w ith regard to the e ffectiv e tax rate on ow n er-occu p ied property. It is
o n ly i f w e m easure tax burden w ith regard to in com e can w e u n eq u iv o ca lly
argue that population grow th increases tax rates.
B oth local and nearby em p loym en t grow th are found to exert a strong p o sitiv e
in flu en ce on population grow th, that is, p eop le fo llo w jo b s.
M oreover,
n eighboring jo b grow th is found to have a larger effect than local jo b grow th —
nearly four tim es as strong.
E con om ic d evelop m en t activ ities o f one's
n eighbors

FRB CHICAGO Working Paper
August 1995, WP-1995-7




can

have

sign ifican t

im p lication s

for

one's

ow n

residential

24

develop m en t. A nd i f it is the case that residential grow th is a ccom p an ied b y
c o stly fiscal con seq u en ces, then b u sin ess d evelop m en t in a n eigh b orin g
com m u n ity has been found to indirectly p lace added pressure on residential
property tax rates. Thus, even i f it is true that em p loym en t grow th p rovid es

local fiscal ben efits, this d o es not insure that it w ill provide
b enefits.

global fiscal

Footnotes
'T his assu m es that residents b eliev e that, at the m argin, increases o f b u sin ess
taxes are exported outside the jurisdiction. T his is a strong assum ption, but
on e com m o n ly m ade in the literature.
2In percentage change m od els, fits tend to be notoriously low .

References
Illin ois D epartm ent o f E m ploym ent Security,

Where Workers Work,

annual,

various issu es.
Illin ois D epartm ent o f R evenue,

Assessment-Sales Price Ratio Studies, annual,

various issu es.
O akland, W illiam H. and W illiam A. Testa, D o es B u sin ess D ev elo p m en t R aise
T axes: A n Em pirical Appraisal, Economic Perspectives, M arch/April 1995, pp.
2 2 -3 2 .
Oakland, W illiam H. and W illiam A. Testa, "Com m unity D ev elop m en t-F iscal
Interactions: A R ev iew o f the Literature," Regional Economic Issues, Federal
R eserve Bank o f C h icago, A ugust, 1995, W P -1995-6.
U .S . D epartm ent o f C om m erce, Bureau o f the C ensus,

Census ofPopulation,

1980.
_______________________ , Bureau o f the C ensus,

FRB CHICAGO Working Paper
August 1995, WP-1995-7




Census of Population, 1990.

25

Table A1
Regression analysis of growth in equalized assessed values
(OLS and two stage least squares)
Growth in equalized
assessed value
(OLS)

Intercept

Growth in equalized
assessed value
(2SLS)

42.44
(19.71)

41.16
(11.87)

0.66
(9.17)

0.59
(4.30)

0.17
(6.59)

(3.13)

Growth in average
home price

0.17
(4.63)

(1.62)

Growth in income

0.55
(6.50)

0.61
(4.45)

Change inassessment
ratio

0.30
(4.27)

(1.75)

Cook County
dummy variable

4.30
(1.97)

4.38
(1.22)

0.80

0.65

Growth in population
Growth inemployment

R sq (adj)

0.21
0.1

0.213

NOTES:

The variables "Growth Inpopulation", Growth Inemployment", "Growth inhome prices"
and "Change inassessment ratio’are jointlydependent variables inthe two-stage least
squares (2LS) model. Values are given in bold face type.
Estimated t-values are given inparentheses

FRB CHICAGO Working Paper
August 1995, WP-1995-7




26

Table A2

Regression analysis of changes in tax rates

Change in statutory
tax rates (TRATE)
O LS

Intercept

C hange in statutory
tax rates (TRATE)
2SLS

47.19
(6.32)

57.90
(4.82)

Growth in equalized
assessed value

-0.49
(-6.60)

-0.74
(-3.47)

Growth in population

0.42
(5.42)

0.59
(3.90)

Growth in employment

0.03
(1.30)

0.04
(0.77)

Growth in income

-0.01
(-0.08)

0.19
(0.96)

Statutory tax
rate, 1981

-3.87
(-5.05)

-4.38
(-4.50)

-0.0010
(-2.96)

-0.0010

Tax price
(EAV res/EAV total)

0.84
(3.96)

1.05
(3.68)

Percentage of renters
in jurisdiction

0.11
(1.60)

0.13
(1.59)

Cook County
dummy variable

15.16
(6.46)

16.38
(5.84)

0.56

0.44

Average home
price

R sq (adj)

(-2.07)

NOTES:
Jointly dependent variables are given in bold face type.
Estimated t-values are given in parentheses.

FRB CHICAGO Working Paper
August 1995, WP-1995-7




27

Table A3

Regression analysis of changes in tax rates (2SLS)
C hange in
statutory
tax rates
(TRATE)

Change in
effective
tax rates
(RATE)

C hange in
effective tax rates
relative to
incom e (B U R D EN )

Intercept

33.00
(4.17)

58.29
(5.98)

92.31
(7.43)

Growth in population

0.10
(1.36)

0.11
(1.29)

0.27
(3.46)

Growth in employment

-0.04
(-1.64)

-0.07
(-2.33)

-0.01
(-0.37)

Growth in income

-0.15
M .2 8 )

0.15
(1.11)

-0.52
(-4.04)

Growth in average
home price

-0.13
(-3.38)

-0.11
(-2.25)

0.62
(10.04)

Statutory tax
rates, 1981

-3.07
(-3.60)

Effective tax
rate, 1981

-0.29
(-6.40)
-11.23
(-6.41)

Tax payment as a
share of income, 1981
Average home
price, 1981

-0.001
(-3.24)

-0.002
(-5.58)

-0.0002
(-0.29)

Tax price
(EAV res/EAV total)

0.50
(2.16)

0.94
(3.28)

0.54
(2.30)
-1.81
(-3.55)

Assessment ratio

Percentage of renters
in jurisdiction, 1981

0.05
(0.63)

0.20
(2.17)

0.19
(2.13)

Cook County
dummy variable

9.36
(3.32)

-13.33
(-3.90)

-17.27
(-3.74)

0.43

0.49

0.88

R sq (adj)

NOTES:
Estimated t-values are given in parentheses.

FRB CHICAGO Working Paper
August 1995, WP-1995-7




28

Table A3 (continued)

Regression analysis of changes in tax rates (OLS)
Change in
statutory
tax rates
(TRATE)

Change in
effective
tax rates
(RATE)

Change in
effective tax rates
relative to
Incom e (BURDEN )

Intercept

30.25
(3.52)

54.24
(5.31)

101.72
(5.89)

G rowth In
population

0.15
(1-37)

0.17
(1.35)

0.26
(1.78)

G rowth in
em ploym ent

-0.06
(-1.24)

-0.12
(-2.02)

0.09
(1.16)

Growth in income

-0.25
(-1.69)

0.05
(0.35)

-0.55
(-2.54)

G rowth In average
home price

-0.08
(-1.49)

-0.04
(-0.68)

0.61
(4.63)

Statutory tax
rates, 1981

-3.10
(-3.35)
-0.29
(-6.15)

Effective tax
rate, 1981

-12.34
(-4.01)

Tax payment as a
share of income, 1981
Average home
price, 1981

-0.001
(-2.22)

-0.002
(-4.37)

-0.0002
(-0.23)

Tax price
(EAV res/EAV total)

0.53
(2.13)

0.99
(3.32)

0.51
(1.68)
-2.10
(-2.71)

Assessment ratio

Percentage of renters
in jurisdiction

0.06
(0.78)

0.25
(2.52)

0.19
(1.60)

Cook County
dummy variable

10.80
(3.40)

-12.43
(-3.34)

-18.31
(-2.98)

0.39

0.46

0.80

R sq (adj)

NOTES:
Jointly dependent variables are given by bold face type.
Estimated t-values are given in parentheses.

FRB CHICAGO Working Paper
August 1995. WP-1995-7




29

Table B

Regression analysis of growth in population (OLS and two-stage least squares)
Growth of population
(OLS)

Growth of population
(2LS)

Intercept

2.06
(0.23)

5.95
(0.51)

Growth of employment

0.10
(3.99)

(2.50)

0.42
(4.20)

0.41
(3.70)

-0.11
(-0.14)

-0.23
(-0.25)

Change in statutory
tax rate

0.08
(0.80)

- 0.014
(-0.08)

Average home
price, 1980

0.0003
(0.93)

0.0001
(0.25)

Growth in average
home price

0.06
(1.63)

(0.47)

Population density
1980

-0.001
(-1.81)

-0.001
(-1.55)

Change in land area
of jurisdiction, 1980 to 1990

2.75
(4.18)

2.75
(3.97)

Percentage of renters
in jurisdiction

0.18
(2.36)

0.15
(1.88)

-0.001
(-2.51)

-0.001
(-2.28)

0.64

0.61

Growth of employment in
nearby jurisdictions
Statutory tax
rate, 1981

Per pupil education spending

R sq (adj)

0.123

0.023

NOTES:
The variables "Growth in employment", "Growth in average home price" and "Change in
statutory tax rates" are predicted values in the two-stage least squares (2LS) model and
are given by bold face type.
Estimated t-values are given in parentheses.

FRB CHICAGO Working Paper
August 1995, WP-1995-7




30

Table C

Regression analysis of growth in employment (OLS and two-stage least squares)
Growth In employment
(OLS)

Growth in employment
(2LS)

Intercept

77.95
(2.52)

111.56
(2.70)

Growth in population

0.82
(2.79)

(0.36)

-0.60
(-1.16)

-0.11
(-0.18)

0.39
(0.92)

0.44
(0.97)

Manufacturing employment
per square mile, 1980

-0.02
(-4.37)

-0.02
(-4.50)

Per capita income
1980

-0.02
(-3.60)

-0.02
(-3.90)

Statutory tax
rates, 1981

-4.11
(-1.41)

-6.34
(-1.87)

Change in statutory
tax rates

-0.39
(-1.20)

- 1.003
(-1.58)

Average home
price, 1981

0.01
(3.87)

0.01
(3.91)

Access to highways
Cook County
dummy variable

0.58
(0.18)
15.76
(1.43)

-0.51
(-0.15)
26.43
(1.93)

Index of tax base
dissipation

-0.94
(-1.22)

-0.88
(-1.08)

R sq (adj)

0.44

0.41

Growth in nearby population

Growth of employment in
nearby jurisdictions

0.182

NOTES:
The variables "Growth in population" and "Change in statutory tax rates" are jointly
dependent variables in the two-stage least squares (2LS) model and are given by bold
face type.
Estimated t-values are given in parentheses.

FRB CHICAGO Working Paper
August 1995,WP-1995-7




31

Table D

Regression analysis of housing appreciation (OLS and two-stage least squares)
Appreciation of housing

Appreciation of housing

(OLS)

(2LS)

20.67
(1.14)

21.06
(0.88)

Per capita income
1980

0.02
(7.30)

0.02
(5.30)

Population density
1980

0.003
(3.063)

0.003
(2.84)

Intercept

Employment to population
ratio, 1981

-24.10
(-3.40)

-20.78
(-2.09)

Growth of employment

-0.06
(-1.25)

-0.01
(-0.05)

0.68
(3.64)

0.58
(2.59)

Statutory tax
rates, 1981

-7.46
(-5.21)

-7.38
(4.55)

Changes in statutory
tax rates

-0.64
(-4.04)

-0.82
(-2.94)

Average home
price, 1981

-0.01
(-6.42)

-0.01
(-4.55)

Access to highways

-0.33
(-0.20)

-0.36
(-0.21)

Distance to the loop

0.68
(3.51)

0.73
(3.46)

0.64

0.61

Growth in per capita
income

R sq (adj)

NOTES:
The variables "Growth in employment", "Change in statutory tax rates" are predicted values
in the two-stage least squares (2LS) model and are given by bold face type.
Estimated t-values are given in parentheses.

FRB CHICAGO Working Paper
August 1995, WP-1995-7




32

Appendix I
County locations of municipalities in study

Municipality name
and government form

Location:
County(ies)

Addison village
Alsip village
Arlington Heights village
Aurora city
Bartlett village
Batavia city
Bellwood village
Bensenville village
Berwyn city
Bloomingdale village
Blue Island city
Bolingbrook village
Bridgeview village
Brookfield village
Buffalo Grove village
Burbank city
Calumet City city
Calumet Park village
Carol Stream village
Carpentersville village
Chicago Heights city
Chicago Ridge village
Cicero town
Country Club Hills city
Crestwood village
Crystal Lake city
Darien city
Deerfield village
Des Plaines city
Dolton village
Downers Grove village
Elgin city
Elk Grove Village village

DuPage
Cook
Cook, Lake
DuPage, Kane
Cook, DuPage
DuPage, Kane
Cook
Cook, DuPage
Cook
DuPage
Cook
DuPage, Will
Cook
Cook
Cook, Lake
Cook
Cook
Cook
DuPage
Kane
Cook
Cook
Cook
Cook
Cook
McHenry
DuPage
Cook, Lake
Cook
Cook
DuPage
Cook, Kane
Cook, DuPage

FRB CHICAGO Working Paper
August 1995, WP-1995-7




33

Appendix I (continued)
County locations of municipalities in study

Municipality name
and government form

Location:
County(ies)

Elmhurst city
Elmwood Park village
Evanston city
Evergreen Park village
Forest Park village
Franklin Park village
Geneva city
Glencoe village
Glendale Heights village
Glen Ellyn village
Glenview village
Glenwood village
Hanover Park village
Harvey city
Hazel Crest village
Hickory Hills city
Highland Park city
Hinsdale village
Hoffman Estates village
Homewood village
Joliet city
Justice village
La Grange village
La Grange Park village
Lake Forest city
Lake Zurich village
Lansing village
Libertyville village
Lincolnwood village
Lisle village
Lombard village
Lyons village
McHenry city

DuPage
Cook
Cook
Cook
Cook
Cook
Kane
Cook
DuPage
DuPage
Cook
Cook
Cook, DuPage
Cook
Cook
Cook
Lake
Cook, DuPage
Cook, Kane
Cook
Will
Cook
Cook
Cook
Lake
Lake
Cook
Lake
Cook
DuPage
DuPage
Cook
McHenry

FRB CHICAGO Working Paper
August 1995. WP-I995-7




34

Appendix I (continued)
County locations of municipalities in study

Municipality name
and government form

Location:
County(ies)

Markham city
Matteson village
Maywood village
Melrose Park village
Midlothian village
Morton Grove village
Mount Prospect village
Mundelein village
Naperville city
Niles village
Norridge village
Northbrook village
North Chicago city
Northlake city
Oak Forest city
Oak Lawn village
Oak Park village
Orland Park village
Palatine village
Palos Heights city
Palos Hills city
Park Forest village
Park Ridge city
Prospect Heights city
Riverdale village
River Forest village
River Grove village
Riverside village
Rolling Meadows city
Romeoville village
Roselle village
Round Lake village
St. Charles city

Cook
Cook
Cook
Cook
Cook
Cook
Cook
Lake
DuPage, Will
Cook
Cook
Cook
Lake
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook, Will
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Will
Cook, DuPage
Lake
DuPage, Kane

FRB CHICAGO Working Paper
August 1995.WP-I995-7




35

Appendix I (continued)
County locations of municipalities in study

Municipality name
and government form

Location:
County(ies)

Sauk Village village
Schaumburg village
Schiller Park village
Skokie village
South Holland village
Streamwood village
Summit village
Tinley Park village
Villa Park village
Waukegan city
Westchester village
West Chicago city
Western Springs village
Westmont village
Wheaton city
Wheeling village
Wilmette village
Winnetka village
Wood Dale city
Woodridge village
Woodstock city
Worth village
Zion city

Cook, Will
Cook, DuPage
Cook
Cook
Cook
Cook
Cook
Cook, Will
DuPage
Lake
Cook
DuPage
Cook
DuPage
DuPage
Cook, Lake
Cook
Cook
DuPage
DuPage, Will
McHenry
Cook
Lake

FRB CHICAGO Working Paper
August 1995, WP-1995-7




36

Working Paper Series
A series ofresearch studies on regional economic issues relating to the Seventh Federal
Reserve District, and on financial and economic topics.

REGIONAL ECONOMIC ISSUES
Estimating Monthly Regional Value Added by Combining Regional Input
With National Production Data
Philip R. Israilevich and Kenneth N. Kuttner
Local Impact of Foreign Trade Zone
David D. Weiss
Trends and Prospects for Rural Manufacturing
William A. Testa
State and Local Government Spending—The Balance
Between Investment and Consumption
Richard H. Mattoon
Forecasting with Regional Input-Output Tables
P.R. Israilevich, R. Mahidhara, and G.J.D. Hewings

W P-92-8

W P-92-9

W P-92-12

W P-92-14

W P-92-20

A Primer on Global Auto Markets
Paul D. Ballew and Robert H. Schnorbus

W P-93-1

Industry Approaches to Environmental Policy
in the Great Lakes Region
David R. Allardice, Richard H. Mattoon and William A. Testa

W P-93-8

The Midwest Stock Price Index-Leading Indicator
ofRegional Economic Activity
William A. Strauss

W P-93-9

Lean Manufacturing and the Decision to Vertically Integrate
Some Empirical Evidence From the U.S. Automobile Industry
Thomas H. Klier

W P-94-1

Domestic Consumption Patterns and the Midwest Economy
Robert Schnorbus and Paul Ballew

W P -94-4




i

Workingpaperseriescontinued
To Trade or Not to Trade: Who Participates in RECLAIM?
Thomas H. Klier and Richard Mattoon

W P -94-11

Restructuring & Worker Displacement in the Midwest
Paul D. Ballew and Robert H. Schnorbus

W P-94-18

Financing Elementary and Secondary Education in the 1990s:
A Review of the Issues
Richard H. Mattoon
Community Development-Fiscal Interactions: A Review of the Literature
William H. Oakland and William A . Testa
Community Development-Fiscal Interactions: Theory and Evidence
from the Chicago Area
William H. Oakland and William A. Testa

W P-95-2

W P -95-6

W P -95-7

ISSUES IN FINANCIAL REGULATION
Incentive Conflict in Deposit-Institution Regulation: Evidence from Australia
Edward J. Kane and George G. Kaufman

W P -92-5

Capital Adequacy and the Growth of U.S. Banks
Herbert Baer and John McElravey

W P -9 2 -1 1

Bank Contagion: Theory and Evidence
George G. Kaufman

W P -92-13

Trading Activity, Progarm Trading and the Volatility of Stock Returns
James T Moser

W P -92-16

Preferred Sources of Market Discipline: Depositors vs.
Subordinated Debt Holders
Douglas D. Evanoff

W P-92-21

An Investigation of Returns Conditional
on Trading Performance
James T Moser and Jacky C. So
The Effect of Capital on Portfolio Risk atLife Insurance Companies
Elijah Brewer I lf Thomas H. Mondschean, and Philip E. Strahan




W P -92-24

WP-92-29

2

Workingpaperseriescontinued
A Framework forEstimating the Value and
InterestRate Risk of Retail Bank Deposits
David E. Hutchison, George G. Pennacchi

WP-92-30

Capital Shocks and Bank Growth-1973 to 1991
Herbert L Baer and John N. McElravey

WP-92-31

The Impact of S&L Failures and Regulatory Changes
on the CD Market 1987-1991
Elijah Brewer and Thomas H. Mondschean

W P-92-33

Junk Bond Holdings, Premium Tax Offsets, and Risk
Exposure atLife Insurance Companies
Elijah Brewer III and Thomas H. Mondschean

W P-93-3

Stock Margins and the Conditional Probability of Price Reversals
Paul Kofman and James T. Moser

W P-93-5

IsThere Lif(f)e After DTB?
Competitive Aspects ofCross Listed Futures
Contracts on Synchronous Markets
Paul Kofman, Tony Bouwman and James T. Moser
Opportunity Cost and Prudentiality: A RepresentativeAgent Model ofFutures Clearinghouse Behavior
Herbert L Baert Virginia G. France and James T. Moser
The Ownership Structure ofJapanese Financial Institutions
Hesna Genay
Origins of the Modem Exchange Clearinghouse: A History ofEarly
Clearing and Settlement Methods atFutures Exchanges
James T. Moser
The Effect of Bank-Held Derivatives on Credit Accessibility
Elijah Brewer III, Bernadette A. Minton and James T Moser
Small Business Investment Companies:
Financial Characteristics and Investments
Elijah Brewer III and Hesna Genay




W P -93-11

W P -93-18

W P -93-19

W P-94-3

W P-94-5

W P -94-10

3

Workingpaperseriescontinued
Spreads, Information Flows and Transparency Across
Trading System
Paul Kofinan and James T. Moser

WP-95-1

MACROECONOMIC ISSUES
An Examination of Change in Energy Dependence and Efficiency
in the Six Largest Energy Using Countries-1970-1988
Jack L Hervey

W P-92-2

Does the Federal Reserve Affect Asset Prices?
Vefa Tarhan

W P -92-3

Investment and Market Imperfections in the U.S. Manufacturing Sector
Paula R. Worthington

W P -92-4

Business Cycle Durations and Postwar Stabilization of the U.S. Economy
Mark W. Watson

W P-92-6

A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues
and Recent Performance
James H. Stock and Mark W. Watson
Production and Inventory Control atthe General Motors Corporation
During the 1920s and 1930s
Anil K. Kashyap and David W. Wilcox
Liquidity Effects, Monetary Policy and the Business Cycle
Lawrence J. Christiano and Martin Eichenbaum
Monetary Policy and External Finance: Interpreting the
Behavior of Financial Flows and Interest Rate Spreads
Kenneth N. Kuttner

W P -92-7

W P -92-10

W P -92-15

W P -92-17

Testing Long Run Neutrality
Robert G. King and Mark W. Watson

W P -92-18

A Policymaker’s Guide to Indicators ofEconomic Activity
Charles Evans, Steven Strongin, and Francesca Eugeni

W P -92-19

Working paper series continued




4

Barriers to Trade and Union Wage Dynamics
Ellen R. Rissman

W P-92-22

Wage Growth and Sectoral Shifts: Phillips Curve Redux
Ellen R. Rissman

W P-92-23

Excess Volatility and The Smoothing ofInterestRates:
An Application Using Money Announcements
Steven Strongin
Market Structure, Technology and the Cyclicality ofOutput
Bruce Petersen and Steven Strongin
The Identification ofMonetary Policy Disturbances:
Explaining the Liquidity Puzzle
Steven Strongin
Earnings Losses and Displaced Workers
Louis S. Jacobson, Robert J. LaLonde, and Daniel G. Sullivan
Some Empirical Evidence of the Effects on Monetary Policy
Shocks on Exchange Rates
Martin Eichenbaum and Charles Evans

W P-92-25

W P-92-26

W P -92-27

W P -92-28

W P-92-32

An Unobserved-Components Model of
Constant-Inflation Potential Output
Kenneth N. Kuttner

W P -93-2

Investment, Cash Flow, and Sunk Costs
Paula R. Worthington

W P -93-4

Lessons from the Japanese Main Bank System
for Financial System Reform in Poland
Takeo Hoshi, Anil Kashyap, and Gary Loveman
Credit Conditions and the Cyclical Behavior of Inventories
Anil K. Kashyap, Owen A. Lamont and Jeremy C. Stein
Labor Productivity During the Great Depression
Michael D. Bordo and Charles L. Evans

WP-93-6

W P -93-7

W P -93-10

Working paper series continued




5

Monetary Policy Shocks and Productivity Measures
in the G-7 Countries
Charles L Evans and Fernando Santos

WP-P3-12

Consumer Confidence and Economic Fluctuations
John G. Matsusaka and Argia M. Sbordone

W P -93-13

Vector Autoregressions and Cointegration
Mark W. Watson

W P -93-14

Testing forCointegration When Some of the
Cointegrating Vectors Are Known
Michael T. K. Horvath and Mark W. Watson
Technical Change, Diffusion, and Productivity
Jeffrey R. Campbell
Economic Activity and the Short-Term Credit Markets:
An Analysis of Prices and Quantities
Benjamin M. Friedman and Kenneth N. Kuttner
Cyclical Productivity in a Model of Labor Hoarding
Argia M. Sbordone

W P-93-15

W P -93-16

W P -93-17

W P -93-20

The Effects ofMonetary Policy Shocks: Evidence from the Flow ofFunds
Lawrence J. Christiano, Martin Eichenbaum and Charles Evans

W P -94-2

Algorithms for Solving Dynamic Models with Occasionally Binding Constraints
Lawrence J. Christiano and Jonas D.M. Fisher

W P-94-6

Identification and the Effects of Monetary Policy Shocks
Lawrence J. Christiano, Martin Eichenbaum and Charles L Evans

W P -94-7

Small Sample Bias in G M M Estimation of Covariance Structures
Joseph G. Altonji and Lewis M. Segal

W P -94-8

Interpreting the Procyclical Productivity ofManufacturing Sectors:
External Effects of Labor Hoarding?
Argia M. Sbordone

W P -94-9

Working paper series continued




6

Evidence on Structural Instability in Macroeconomic Time Series Relations
James H. Stock and Mark W. Watson

W P-94-13

The Post-War U.S. Phillips Curve: A Revisionist Econometric History
Robert G. King and Mark W. Watson

W P -94-14

The Post-War U.S. Phillips Curve: A Comment
Charles L Evans

W P-94-15

Identification of Inflation-Unemployment
Bennett T. McCollum

W P-94-16

The Post-War U.S. Phillips Curve: A Revisionist Econometric History
Response to Evans and McCallum
Robert G. King and Mark W. Watson

W P -94-17

Estimating Deterministic Trends in the
Presence of Serially Correlated Errors
Eugene Canjels and Mark W. Watson

W P -94-19

Solving Nonlinear Rational Expectations
Models by Parameterized Expectations:
Convergence to Stationary Solutions
Albert Marcet and David A. Marshall

W P -94-20

The Effect of Costly Consumption
Adjustment on Asset Price Volatility
David A. Marshall and Nayan G. Parekh

W P-94-21

The Implications of First-Order Risk
Aversion for Asset Market Risk Premiums
Geert Bekaert, Robert J. Hodrick and David A. Marshall

W P-94-22

Asset Return Volatility with Extremely Small Costs
ofConsumption Adjustment
David A. Marshall

W P -94-23

Indicator Properties of the Paper-Bill Spread:
Lessons From Recent Experience
Benjamin M. Friedman and Kenneth N. Kuttner

W P -94-24




7

Workingpaperseriescontinued
Overtime, Effort and the Propagation
of Business Cycle Shocks
George J. Hall

WP-94-25

Monetary policies in the early 1990s~reflections
of the early 1930s
Robert D. Laurent

W P -94-26

The Returns from Classroom Training forDisplaced Workers
Louis S. Jacobson, Robert J. LaLonde and Daniel G. Sullivan

W P -94-27

Isthe Banking and Payments System Fragile?
George J. Benston and George G. Kaujman

W P -94-28

Small Sample Properties ofG M M for Business Cycle Analysis
Lawrence J’ Christiano and Wouter den Haan

W P -95-3

The Fed Funds Futures Rate as a Predictor of Federal Reserve Policy
Joel T. Krueger and Kenneth N. Kuttner

W P -95-4

Capital Utilization and Returns to Scale
Craig Burnside, Martin Eichenbaum and Sergio Rebelo

W P -95-5




8