This paper tested at the individual level the argument
that regional homeownership rates are positively correlated with regional
unemployment rates.
The null hypotheses were based on search theory which
argued that renters have a higher matching rates to firms while home owners, due
to fixed cost in property acquisition and immobility, suffer more from regional
demand shocks. Specifically, the hypotheses contends that renters, compared to
homeowners, have lower unemployment probabilities, shorter duration of unemployment
and higher wages.
Some previous research papers
showed that at aggregate level house ownership has a negative impact on labor
market outcomes. However, these papers failed to present evidence at individual
level. Besides, much of the current evidence is bivariate, which means there
may be omitted variables involved. To test hypotheses at individual level,
Coulson and Fisher used two data sets, namely the March 2000 wave of Current
Population Survey (CPS) and 1993 wave of the Panel Survey of Income Dynamics
(PSID), with a multivariate model.
The CPS data included information
on 29753 individuals’ housing, labor market experiences and demographic
characteristics. The sample reflected the relatively wealthier portion of the
country. Coulson and Fisher first used probit model, in which the dependent
variable is a dummy variable, to test the hypothesis that homeowners are more
likely to be unemployed. The univariate test turned out to reject the
hypothesis. To tease out the impact of omitted variables, Coulson and Fisher
then added some other significant variables such as age, races, education
levels, marital status, and locations, but refined regression still rejected
the hypothesis.
Coulson and Fisher then used CPS
data and OLS method to test the hypothesis that renters have more wages. Both
the unconditional and conditional tests showed that home owners have more wages
than renters, which rejected the hypothesis.
Having rejected the first and
third hypothesis using CPS data, Coulson and Fisher used PSID to test the three
hypotheses, particularly the second that renters have shorter duration of
unemployment. Compared to CPS, which only included a simple cross-section, PSID
had longitudinal data, which could be better used to test spell length of the
sample. The sample consisted of 5125 individuals, which had on average lower
incomes, lower education levels and younger ages compared to those in the CPS
data. The univariate and multivariate regression tests both showed that home
ownership is a significant negative indicator for unemployment and home owners
earn more than renters. Assuming that the length of spells satisfies Weibull
distribution, Coulson and Fisher ran the regression and found that home
ownership exerts a negative influence on the length of the unemployment. The
second hypothesis was rejected.
Coulson and Fisher rejected the
null hypotheses that homeowners have lower unemployment probabilities, longer
unemployment spells and lower wages than renters. The possible reasons why the
hypotheses didn’t hold may be that mobility of renters tend to equalize
unemployment rates across areas regardless of the homeowners’ behavior, or firms
don’t observe status of homeownership and tend to pool renters and owners into
a single labor market.
However, this paper was
criticized by Munch, Rosholm, and Svarer. They pointed out that Coulson and
Fisher didn’t address the potential endogeneity of the home owner variable,
which made it unclear if the positive labor market outcomes for home owners are
causal or spurious.
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