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04-09: On the Empirical Finding of a Higher Risk
of Poverty in Rural Areas: Is Rural Residence Endogenous
to Poverty?
Monica Fisher. August 2004.
Research shows households are more likely
to be poor in rural versus urban America. Does this
phenomenon partly reflect that people who choose rural
residence have unmeasured attributes related to human
impoverishment? To address this, two models are estimated
using Panel Study of Income Dynamics data. A single
equation Probit model of household poverty replicates
the well-documented finding of higher poverty risk in
rural places. However, a two-stage instrumental variables
approach accounting for residential choice finds no
measured effect of rural location on poverty. Results
suggest failure to correct for endogenous rural residence
leads to over-estimation of the “rural effect”.
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04-08: Urban and Rural Differences in Utilization
of State Earned Income Tax Credit Programs: Minnesota’s
Experience.
Donald P. Hirasuna and Thomas F. Stinson. December 2004.
This paper examines utilization rates
of Minnesota’s earned income tax credit program
by households on welfare from 1992 through 1999. We
examine urban and rural differences in the rate of filing
an income tax return and receiving the earned income
tax credit. Tabulations show that urban areas have the
lowest utilization rates, but are catching up in both
income tax filing rates and earned income credit receipt
rates. Regression analyses identify correlates to urbanrural
differences. A modeling exercise examines how urban
and rural households might respond to a 10 percent increase
in the credit. Finally, policy suggestions are offered,
which are relevant to urban and rural areas and are
appropriate for other states.
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04-07: The Cumulative Effect of Rural and Regional
Residence Upon the Health of Older Adults.
Jessica S. Ziembroski and Erica L. Hauck. August 2004.
This article examines the independent
and interactive effects of rural status and region of
residence on health. Individual level factors related
to poverty are also tested, in conjunction with rural
and regional residence. Negative health effects of rurality
were
found only in the South, while positive health effects
of rurality were found, but only in the Midwest. The
results indicate a cumulative risk of rural and Southern
residence for older men and women. Living in a rural
place in the Midwestern United States may
provide unique sources of health benefit as individuals
age, which buffer previously observed rural risks to
health overall. The findings are discussed in terms
of health policy and interventions.
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04-06: Policy Intervention and Poverty in Rural
America.
Hema Swaminathan and Jill L. Findeis. August 2004.
This paper attempts to explore interactions
between welfare reform, employment growth and poverty
rates across all U.S. counties for the period 1989 to
1999. What is the relationship between family assistance
payments and employment rates at the county level? How
does a changing employment rate affect poverty? Are
these relationships similar across metro and nonmetro
counties? These are the key questions that motivate
this research. This research builds upon Goetz, Rupasingha
and Zimmerman that models the relation between county-level
change in food stamps per capita and the unemployment
rate. Spatial autocorrelation is explicitly considered
in a simultaneous equation context.
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04-05: Poverty over Time and Location: An Examination
of Metro-Nonmetro Differences.
John M. Ulimwengu and David S. Kraybill. August 2004.
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04-04: Local Social and Economic Conditions, Spatial
Concentrations of Poverty, and Poverty Dynamics.
Mindy S. Crandall and Bruce A. Weber. August 2004.
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04-03: Poverty and Place. A Critical Review of Rural
Poverty Literature.
Bruce Weber, Leif Jensen. June 2004.
Poverty rates are highest in the most
urban and most rural areas of the United States, and
are higher in non-metropolitan (nonmetro) than metropolitan
(metro) areas, yet rural poverty remains relatively
obscured from mainstream political and popular attention.
This fact has motivated considerable research by rural
social scientists on the relationship between poverty
and place generally, and rural-urban differences in
poverty, in particular. We provide a critical review
of the literature on rural poverty, paying particular
attention to methodogical and statistical challenges
facing quantitative analyses. This body of research
confirms the higher prevalence of poverty in nonmetro
areas, and finds that while both compositional (individual)
and contextual (structural) factors are at play, a complete
explanation remains elusive. We note endogenous
membership, omitted variable, and other challenges facing
researchers, and conclude with suggestions for further
research.
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04-02: Poverty, Policy and Place: How Poverty and
Policies to Alleviate Poverty Are Shaped by Local Characteristics.
Rebecca M. Blank. March 2004.
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04-01: Does Economic Vulnerability Depend On Place
Of Residence? Asset Poverty Across the Rural -Urban
Continuum.
Monica G. Fisher, Bruce A. Weber. March 2004.
This paper uses Panel Study of Income
Dynamics data for 1989, 1994, and 1999 to examine why
some U.S. households are asset poor; that is, why households
have insufficient resources to invest in their future
or to sustain household members at a basic level during
times of economic disruption. The study contributes
to an improved understanding of asset poverty’s
correlates by examining the influence of place of residence;
the extant literature has focused on individuallevel
explanations. We estimate a random-effects logistic
model of the probability that an individual is asset
poor at a given point in time as a function of household-level
(e.g. age, gender, race of the household head and family
structure) and place-level (regional and rural-urban
continuum) variables. The central finding of the paper
is that place of residence is an important determinant
of asset poverty, above and beyond the influence of
household characteristics. We find that living in a
central metropolitan county and in a nonmetropolitan
area is associated with a higher risk of being asset
poor, all else being equal. Implications for future
research are discussed.
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