Spatial Modeling of the Migration of Older People with a Focus on Amenities
Using U.S. county-level migration data from the 2000 Census, we examine patterns of migration of older people. This study makes three contributions to the literature. First we focus attention on differences in migration patterns of older people by separately modeling four age classifications. Second, using Geographically Weighted Regression (GWR), we look for and find significant spatial variation in the determinants of migration of older people. Third, because many older migrants relocate purely for quality of life, we examine the role of amenities, both natural and built, in explaining migration patterns.
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- Mark D. Partridge & Dan S. Rickman & Kamar Ali & M. Rose Olfert, 2007.
"The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach,"
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0704, Oklahoma State University, Department of Economics and Legal Studies in Business.
- Mark D. Partridge & Dan S. Rickman & Kamar Ali & M. Rose Olfert, 2008. "The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach," Land Economics, University of Wisconsin Press, vol. 84(2), pages 241-266.
- Partridge, Mark D. & Rickman, Dan S., 2007. "Persistent Pockets of Extreme American Poverty and Job Growth: Is There a Place-Based Policy Role?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(01), April.
- Chris Lloyd & Ian Shuttleworth, 2005. "Analysing commuting using local regression techniques: scale, sensitivity, and geographical patterning," Environment and Planning A, Pion Ltd, London, vol. 37(1), pages 81-103, January.
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