and
N MRS
X; Y
h
NC
NX
NC
NN
dN
dX
supply
(30:16)
Equation (30.15) is one of the two conditions for a welfare optimum. It
remains to show that Eqs. (30.15) and (30.16) together imply the second
pareto-optimal condition, the standard public goods decision rule, (Eq. 30.9).
To see that they do imply Eq. (30.9), totally diVerentiate Eq. (30.15) to
obtain:
C
X
dX C
N
dN NC
NX
dX NC
NN
dN C
N
dN (30:17)
Rearranging terms:
C
X
NC
NX
dX NC
NN
dN (30:18)
C
X
NC
NX
NC
NN
dN
dX
supply
(30:19)
Substituting Eq. (30.19) into (30.16) and simplifying yields:
N MRS
X; Y
h
C
X
(30:20)
as required. Tiebout's conjecture holds true in McGuire's Xuid, frontier
model of Wscal federalism.
FIXED COMMUNITIES AND HOUSING SITES: ADDING THE
HOUSING MARKET
McGuire's frontier model can reasonably ignore the housing market on the
grounds that supply of land is perfectly elastic in frontier regions where
jurisdictions are forming, breaking apart, and reforming, with each town
replicating all others in the Wnal equilibrium. The housing market cannot be
ignored in models with a Wxed number of jurisdictions, however, because then
property values are necessarily tied to the provision of public services. Sup-
pose some town oVers a particularly attractive public services±tax mix. The
demand for that town's services±tax mix might well cause property values
there to rise as people try to move in. A Wnal equilibrium cannot be achieved
until the relative attractiveness of the town's services±tax mix is fully capital-
ized into the value of the town's property.
The Pauly Model of the Housing Market
In general, the housing market has an important impact on both the nature of
the equilibrium and whether an equilibrium even exists. A model developed
866 FIXED COMMUNITIES AND HOUSING SITES: ADDING THE HOUSING MARKET
by Mark Pauly is instructive for exploring the various possibilities when the
jurisdictions are Wxed.
7
It lies at the opposite end of the spectrum from
McGuire's frontier model in assuming a Wxed number of communities
along with a Wxed number of housing sites.
Let:
X a composite commodity whose price equals 1.
G a bundle of public services, exclusive of taxes.
g the unit price of (tax for) a public service, assumed constant across all
jurisdictions.
R the rental value of a standardized vector of property and housing
services.
Y lump-sum consumer income, assumed Wxed for each individual.
Consumer utility is deWned over X and G. Thus consumers solve the
following ``as if '' maximization problemÐthat is, as if they could choose the
value of G:
max
(X
h
; G
h
)
U
h
X
h
,G
h
s:t: Y
h
X
h
gG
h
Rh 1, ...,H
Assume initially that R is equal across all jurisdictions. The as-if maxim-
ization determines each person's most preferred amount of G which they will
try to match as closely as possible with the set of Gs oVered in the given
communities.
Suppose the maximization generates a G
h
*. Person h, and all other
consumers identical to h in terms of preferences and income, will want to
form a jurisdiction providing exacting exactly G
h
* of public services, replicat-
ing if necessary to avoid any increases in R. If they could do so, preferences
for public service bundles would be met exactly by homogeneous subgroup-
ings of the population, and there would be no capitalization. This is the
situation envisioned by the McGuire frontier model. Furthermore, g is
essentially a head tax so that the subgroups would generate a pareto-optimal
equilibrium.
Suppose, however, that there are a Wxed number of localities, ` 1, ...,L,
with the following characteristics:
1. Each locality oVers a particular level of public services represented by
the vector
~
G (G
1
, ...,G
`
, ...,G
L
) in ascending order of G
`
;
2. Each town has a Wxed number of properties, represented by the vector
~
H (H
1
, ...,H
`
, ...,H
L
), such that
P
L
`1
H
`
equals the entire
population of individuals seeking a location; and
7
M. Pauly, ``A Model of Local Government Expenditure and Tax Capitalization,'' Journal
of Public Economics, October 1976.
30. OPTIMAL FEDERALISM: THE SORTING OF PEOPLE WITHIN THE FISCAL HIERARCHY 867
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