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| Fisher, Monica G.. |
| 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... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Rural; Poverty; Residential mobility; Omitted variable bias; Food Security and Poverty. |
| Ano: 2005 |
URL: http://purl.umn.edu/18904 |
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| Fisher, Monica G.. |
| Includes: On the Empirical Finding of a Higher Risk of Poverty in Rural Areas: Is Rural Residence Endogenous to Poverty?:COMMENT, by Thomas A. Hirschl; On the Empirical Finding of a Higher Risk of Poverty in Rural Areas: Is Rural Residence Endogenous to Poverty?: REPLY, by Monica Fisher. Research shows people 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 question, two models are estimated using Panel Study of Income Dynamics data. A single equation Probit model of individual poverty replicates the well-documented finding of higher poverty risk in rural places. However, an instrumental variables... |
| Tipo: Journal Article |
Palavras-chave: Endogeneity; Instrumental variables; Omitted variable bias; Poverty; Rural; Food Security and Poverty. |
| Ano: 2005 |
URL: http://purl.umn.edu/31219 |
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