Advances and Declines in the Rural Working Poor: Complementing Traditional Econometric Results with Case Analysis
We employ a multi-method approach to more fully explore determinants of greater than expected rural county-level increases and decreases in the proportion of working poor in four states. An econometric model by Anderson, Goe, and Weng (2007) using 1990 and 2000 Census data in the North Central region of the U.S. supplies the error terms to identify our outlier counties. We show that counties performing better than expected may be more self-reliant than counties performing worse than expected (Michigan), that regional attributes contribute greatly to overall performance (Ohio), that the structure of local employment patterns also influences outcomes (Missouri), while devolution of federal government and long-term commuting patterns may also affect outcomes (South Dakota). Future efforts should attempt to replicate these research strategies and may serve to inform the direction of best practice in federal data collection efforts.
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- Rappaport, Jordan, 2007.
"Moving to nice weather,"
Regional Science and Urban Economics,
Elsevier, vol. 37(3), pages 375-398, May.
- Jordan Rappaport, 2004. "Moving to Nice Weather," Econometric Society 2004 North American Summer Meetings 188, Econometric Society.
- Jordan Rappaport, 2003. "Moving to nice weather," Research Working Paper RWP 03-07, Federal Reserve Bank of Kansas City.
- Anderson, Cynthia D. & Goe, W. Richard & Weng, Chih-Yuan, 2007. "A Multi-method Research Strategy for Understanding Change in the Rate of Working Poor in the North Central Region of the United States," The Review of Regional Studies, Southern Regional Science Association, vol. 37(3), pages 367-91.
- McGranahan, David A., 1999. "Natural Amenities Drive Rural Population Change," Agricultural Economics Reports 33955, United States Department of Agriculture, Economic Research Service.
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