We provide a comparative analysis of county-level poverty in the two poorest regions of the United States-the Texas Borderland and the Lower Mississippi Delta-with a special focus on differences by family type. Our results reveal important regional variation in both the prevalence of poverty and the composition of the poor population across major family types. Using OLS regression models of family type-specific poverty we demonstrate three key findings: 1) There are no significant regional differences in poverty levels by family type between the Borderland and the Delta, net of important structural factors that characterize the regions; 2) with the exception of the employment rate, the structural factors associated with poverty among married couple and single female-headed families are quite different; and 3) paradoxically, areas in the Borderland with high in-migration are especially likely to suffer from high marriedcouple family poverty. Our results suggest the need for regionally targeted and demographically tailored anti-poverty policies.
This paper uses microdata from the 2006 American Community Survey for households in the Texas Borderland and Mississippi Delta to examine the effects of spatial location context on the odds of households being in poverty. We examine the micro-level and area-level effects of poverty among households located in the two regions. We estimate a series of multilevel regression models predicting the log odds of a household being in poverty. Our major contribution is the demonstration that areal context characteristics have statistically significant effects on the likelihood of households being in poverty. Spatial context matters when it comes to predicting poverty of the households in the Delta and Borderland.
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