Migration, fixed costs, and location-specific
amenities: a hazard analysis for a panel of males.
by Huffman, Wallace E.^Feridhanusetyawan, Tubagus
We expect an adult male's hazard of migration to be time
dependent and depends on a set of covariates, X. This is a so-called
accelerated failure-time model (Greene 2003, p. 769). In addition,
individual heterogeneity may exist because of (i) individual-specific
unmeasured effects, e.g., intensity of psychological costs of moving,
(ii) measurement error in X, or (iii) measurement error in the duration
of a resident spell. Following others, for example, Heckman and Singer
(1985), we impose the Weibull distribution on the density function for
residency at a particular location (t), which permits constant,
decreasing, or increasing time dependence of the hazard function for
migration determined by the sign of [sigma]. If [sigma] is one, then the
hazard of migration is not time dependent. We define [upsilon] to be
individual-specific unmeasured heterogeneity, and assume [upsilon] is
distributed gamma with unit mean and variance [theta]. It is
incorporated as in Heckman and Singer (1985) or Greene (2003, pp.
797-798). Hence, a male's mixed resident-survivor function is
(7) S(t, X, [beta], [sigma], [theta]) = [{1 + [theta][[t
exp(X[beta])].sup.1/[sigma]}.sup.-1/[theta].
His associated hazard function of migration is
(8) H(t, X, [beta], [sigma], [theta])
= [[S(t, X, [beta], [sigma], [theta])].sup.[theta]]
(1/[sigma])[t.sup.(1/[sigma])-l][[exp(X[beta])].sup.1/[sigma]]. (4)
If [sigma] is not significantly different from zero, the hazard of
migration is monotone in duration. An important feature of this
specification is that the effect of heterogeneity is increasing in
[theta], but as [theta] goes to zero, heterogeneity vanishes. (5)
Some variables in X for the ith individual, say [X.sub.ij], change
over time and are jointly determined with duration. For example, an
individual who has children and chooses a place to reside may make a
joint decision. When this is the case, [X.sub.itj] is typically assigned
its value at the beginning of the resident spell, say [X.sub.ij0],
(Lancaster 1990; Greene 2003, pp. 790-800). Other variables are time
varying but not endogenous to duration, e.g., marital status, and actual
value during the spell can be included as a regressor.
The Data
Individuals in this study are working-age adult males of the Panel
Study of Income Dynamics (PSID). We use the Survey Research Center (SRC)
Sample, which was a probability sample of all U.S. households in the
contiguous forty-eight states in 1968 and not the Survey of Economic
Opportunity sample, which drew mainly from low-income households.
Critical to this study, the PSID identifies the state of residence.
These males were first surveyed for the PSID in 1968 when they were
nineteen to forty-five years of age. Males were surveyed annually
starting in the year after they completed school and were reinterviewed
annually until they retired, died, or disappeared. We have data on
twenty years of migration experience for 915 men where 193 of them had
at least one move in the twenty-year period; 10.6% moved once, and the
remaining 10.5% moved more than once (table 1).
From the full number of males, we derived a total of 865 resident
spells having known starting dates, and 1,268 residence spells that have
adjusted starting dates. The 1,268 open and "closed" spells
are the total number of observations in our econometric hazard rate of
interstate migration analysis. The adjustment closes the migration
interval when it is open on the left, i.e., when we do not have data on
the starting date. This provides a relatively large amount of
information on resident-location decisions of working-age adult males
and variation in length of resident spells. However, the oldest-aged
males are sixty-five years, and some of them have retired or are
contemplating retirement. (6) The PSID has major advantages over
cross-sectional micro-data sets on migration, because we have twenty
years of information on migration decisions, and for the most part we
know the individual's attributes at the start of each resident
spell. Data for these adult males are supplemented with data from other
sources for their resident area.
For working-age males, internal migration over a long distance is
generally associated with a change in employment, whereas short-distance
migration is frequently associated with a change only in residence or
housing. Since the latter is not of interest to us, we choose to define
migration decisions for adult working-age males as interstate moves,
which is the most frequently used area designation for migration studies
in the U.S. States have fixed geographical boundaries over time and are
exhaustive in their geographical coverage. Occupational licensing
practices and union membership policies are set at the state level, and
the state government is a major fiscal and jurisdictional authority. (7)
Some important amenity benefits of states include the quality of local
public goods, such as public schools and park areas, air and water
quality, crime rate and "mildness" of the climate. Much of the
important variation in topography is also captured at the state level.
Other migration studies that have analyzed interstate migration include
Sandefur (1985), Brinig and Buckley (1996), Clark, Knapp, and White
(1996), and Pashigan (1979). (8)
For our study, an adult male is defined as a long-distance migrant
if he moves across a state boundary. Although states differ in area,
population, employment, and number of cities, we ignore these
differences. Adult males and families may be affected marginally by the
distance of a move to a new destination, but a major part of the cost is
fixed. Costs of moving for an adult male with a family include: time
spent weighing the decision to move, finding new places to shop, finding
schools for kids, finding a church to attend, and finding and making new
friends. They also include the cost of selling a house or ending a lease
at the origin, finding a new house or apartment at a destination, and
the cost of loading one's possessions at the origin, and unloading
and putting them in order at the new destination.
Since destinations and their location-specific amenities are a
choice, all potential working-age males face a similar common fixed
amenity-effect of potential destinations. Hence, when they live in
different places, the local amenity attributes that differ among them,
and that is relevant to their decision to migrate is the amenity
attributes of their current location (Huang, Orazem, and Wohlgemuth
2002).
The PSID identifies the state of residence of each adult male in
the survey We focus on a twenty-year period, starting in 1968.
The Empirical Hazard Function of Migration
The systematic part of the hazard function of interstate migration
is specified as:
(9) [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
where i = 1, 2, ..., n, denotes sample males, s = 1, 2, ...,
[C.sub.i], denotes the resident spells, W([ot.sub.is]) denotes the real
wage for ith male at his current location or the origin o in time t
during spell s, W([dt.sub.is]) denotes the real wage for the ith male at
a new destination in spell s, AGE is the age of the ith male at the
beginning of spell s, EDU([t.sub.is]) denotes the years of schooling
completed by the ith male at the beginning of spell s,
DSLFEMP([t.sub.is]) denotes an indicator for the ith male being
self-employed or being a farmer at the beginning of spell s,
UNION([t.sub.is]) denotes an indicator for the ith male being a labor
union member at the beginning of spell s, UNEM([t.sub.is]) denotes the
ith male's unemployed status in resident spell s, MARR([t.sub.is])
denotes the ith male's marital status in spell s, CHILD([t.sub.is])
denotes the ith male's number of children at the start of spell s,
CRIME([t.sub.is]) denotes the crime rate at the origin for the ith male
relative to the U.S. average in spell s, PARKS([t.sub.is]) denotes for
the ith male the share of origin or of the resident state that is in
state and federal parks relative to the U.S. average at the start of
spell s, JAN([t.sub.is]) denotes for the ith male the thirty-year
average January temperature at the origin or resident state relative to
the U.S. average at the start of spell s, JULY([t.sub.is]) denotes for
the ith male the thirty-year average July temperature at the origin or
resident state relative to the U.S. average at the start of spell s, and
DWHITE([t.sub.is]) denotes the ith male's race.
The set of covariates is largely defined as the beginning of a
resident spell, especially for those variables that seem most likely to
be jointly determined with the probability that a residence spell
ends--EDU, DSLFEMP, UNION, and CHILD. (9) For other variables that are
time varying, but that are not jointly determined with the probability
of a spell ending, we use a summary of the variable over the resident
spell, for example, MARR. (10) Also, we choose to incorporate the effect
of unemployment on the probability of a resident spell ending as the
average amount of time in the spell that the individual was unemployed.
(11)
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