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WP
05-08: The Tax Code as Social Policy in Rural America
Alan Berube. December 2005
This concept paper, commissioned by
the Rural Policy Research Institute, describes the increasingly
fundamental role that the federal tax code plays in
providing support to rural communities, especially their
lower-income residents. It charts the overall growth
of social policy expenditures through the tax code,
and explains why these expenditures may be particularly
meaningful for both families and places in rural America,
focusing on the value of selected federal tax credits
in two states relative to agricultural subsidies. It
concludes by analyzing the various opportunities and
challenges that would accompany a more concerted effort
to highlight the tax code’s importance as a tool
for enhancing economic and social well-being in rural
places.
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05-07: Beyond Gateway Cities: Economic Restructuring
and Poverty Among Mexican Immigrant Families and Children
Martha L. Crowley, Daniel T. Lichter, and Zhenchao Qian
June 2005.
Our main objective is to better understand
how new residential patterns have reshaped patterns
of poverty among America’s growing Mexican-origin
population. We use data from the Integrated Public Use
Microdata Samples (IPUMS) to document recent changes
in poverty rates among native-born and foreign-born
Mexicans living in the Southwest and in new regions
where many Mexican families have resettled. Our analysis
focuses on how changing patterns of employment (e.g.,
in construction and food processing industries) have
altered the risk of poverty among Mexican families and
children. We demonstrate that the Mexican population
dispersed widely throughout the United States during
the 1990s. Perhaps surprisingly, Mexican workers, especially
new immigrants, had much lower rates of poverty in the
new destination regions and rural areas than their counterparts
that remained in traditional areas of population concentration
– the Southwest. As we show in this study, the
dispersion of America’s Mexican native-born and
immigrant populations raises questions and hopes about
their economic and political incorporation into American
society.
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05-06: Are the Effects of the Macroeconomy and Social
Policies on Poverty Different in Rural America?
Craig Gunderson. June 2005.
The macroeconomy and social policies
can have substantial influences on poverty in the United
States. In this paper, I investigate whether these influences
differ across metro and
nonmetro areas. To do so, using a 16-year panel of state-level
data, I estimate state and year fixed effects models
separately for metro and nonmetro areas to see if the
effects of the macroeconomy and social policies differ
between these two areas. These models are
estimated using two measures– the poverty rate
and the squared poverty gap – and by family type.
I find that cyclical forces have a much stronger effect
on the poverty rate in nonmetro areas in comparison
to metro areas but the effects are similar for the squared
poverty gap; wage growth has a pronounced effect on
poverty in metro areas but no effect in nonmetro areas;
and state-level social policies have slightly larger
effects in nonmetro areas but the effects are small.
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05-05: The Impact of the 1990s Economic Boom on
Less-Educated Workers in Rural America
Liz Davis and Stacie Bosley. June 2005.
This article uses National Longitudinal
Survey of Youth (NLSY79) data to investigate the impact
of local labor market conditions on the employment and
earnings of rural noncollege-educated workers. The results
suggest that local economic conditions in the late 1990s
did have a positive impact on wages, and the effect
is larger for workers with no more than a high school
degree compared to their college-educated counterparts.
Further, there is evidence of a difference between rural
and urban labor markets, suggesting that the 1990s boom
helped urban less-educated workers but not those in
rural areas. The rural/urban difference is most apparent
for male workers.
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05-04: Why is U.S. Poverty Higher in Nonmetropolitan
than Metropolitan Areas? Evidence from the Panel Study
of Income Dynamics
Monica Fisher. May 2005.
In the United States, low-income people
are not evenly distributed across the rural-urban landscape.
Does this phenomenon partly reflect that people who
“choose” to live in rural areas have unmeasured
attributes related to poverty? To address this question,
I use data from nine waves of the Panel Study of Income
Dynamics (PSID) to track economic well-being and rural/urban
residential choice among a sample of 6,461 householders.
A series of multivariate regression models are estimated
in which the dependent variable is a householder’s
income to need and explanatory variables are individual
attributes and place-level factors, including whether
the county of residence is nonmetropolitan (nonmetro).
First I estimate an ordinary least squares (OLS) model
which excludes educational attainment variables. I then
estimate an OLS model with controls for education. Finally,
I estimate an individual fixed-effects regression model
that controls for observed education and unobserved
income capacity. I find that the effect on income to
need of living in a nonmetro area is reduced substantially
as more stringent controls for individual heterogeneity
are implemented. Specifically, the first regression
shows that nonmetro householders have income to need
that is 26 percent lower than metro householders. The
fixed-effects specification, by contrast, indicates
a rural-urban gap in economic well-being of only 7 percent.
Taken together, results suggest that one explanation
for the higher incidence of poverty in rural than urban
areas is that people with personal attributes associated
with having low income tend to sort themselves into
rural places.
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WP
05-03: Men Without Sawmills: Masculinity,
Rural Poverty, and Family Stability
Jennifer Sherman. May 2005.
Using ethnographic and interview data,
this paper explores the impacts of economic strain and
job loss on the construction and experience of masculinity,
as well as the effects of threats to masculine identity
on family stability in a rural American community. It
looks at these issues specifically with reference to
the high correlation between poverty and single parenting,
in order to better understand the causal mechanisms
responsible for this link in a rural setting. It challenges
the mainstream argument that it is women’s marriage
choices that are mainly responsible for this correlation.
Building on and extending the work of previous researchers,
the paper argues that men’s experiences with masculinity
in times of economic and labor market stress seriously
undermine their abilities to sustain functioning relationships.
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05-02: Persistent Pockets of Extreme American Poverty:
People or Place Based?
Mark D. Partridge and Dan S. Rickman. January
2005.
Over the past four decades almost 400
U.S. counties have persistently had poverty rates in
excess of 20 percent. These counties are generally characterized
by weak economies and disadvantaged populations. This
raises the hotly debated question of whether poverty-reducing
policies should be directed more at helping people or
helping the places where they reside. Using a variety
of regression approaches, including geographically weighted
regression analysis, we consistently find that local
job growth especially reduces poverty in persistent-poverty
counties. We also find that persistent-poverty counties
do not respond more sluggishly to exogenous shocks,
nor do they experience more adverse spillover effects
from their neighboring counties. Finally, we identify
some key geographic differences in the poverty determining
mechanism among persistent-poverty clusters. Taken together,
these results indicate that place-based economic development
has a potential role for reducing poverty in these counties.
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WP
05-01: Trickling Down: Does Local Job Growth Reduce
Poverty
Mindy Crandall and Bruce Weber. March 2005.
Was local job growth a significant determinant
of poverty reduction between 1990 and 2000? This research
takes advantage of newly available data and techniques
to explore the job growth on tract-level poverty reduction.
Spatial corrections to the model allow for more accurate
identification of the significant determinants of poverty
reduction across the United States. Results indicate
that job growth is a highly significant predictor of
poverty reduction, though its effect is modest. While
spatial models didn't materially affect the regression
coefficients, significant gains in model explanatory
power were seen when using a spatial model as compared
to OLS.
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