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Economic or Amenity Driven Migration? A Cluster-Based Analysis of County Migration in the Four Corners States

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  • Gunderson, Ronald J.
  • Pinto, James V.
  • Williams, Robert H.

Abstract

Numerous studies have confirmed the importance of both economic and non-economic (or amenity) factors on net domestic migration flows across county boundaries in the U.S. over the past several decades. This study focuses on the counties within the states comprising the Four Corners Region (Arizona, Colorado, New Mexico, and Utah) of the U.S. Initially, regres-sion analysis was employed to explain a proportion of the variation in net migration rates within the region from 1995-2000. Cluster analysis was then used to classify counties into groups that exhibit similar characteristics. The results of the study suggest that only a few of the traditional variables were correlated with migration activity in the Four Corners states; however the cluster-based technique identified four separate county groups which demon-strate the importance of both economic and amenity-based variables.

Suggested Citation

  • Gunderson, Ronald J. & Pinto, James V. & Williams, Robert H., 2008. "Economic or Amenity Driven Migration? A Cluster-Based Analysis of County Migration in the Four Corners States," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(3), pages 1-12.
    • Handle: RePEc:ags:jrapmc:133002
    DOI: 10.22004/ag.econ.133002
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    References listed on IDEAS

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    Cited by:

    1. Dan S. Rickman & Shane D. Rickman, 2011. "Population Growth In High‐Amenity Nonmetropolitan Areas: What'S The Prognosis?," Journal of Regional Science, Wiley Blackwell, vol. 51(5), pages 863-879, December.
    2. Partridge, Mark D. & Rickman, Dan S., 2012. "Integrating regional economic development analysis and land use economics," MPRA Paper 38291, University Library of Munich, Germany.
    3. Butters, Roger & Thompson, Eric C. & Zheng, Ziwen, 2012. "Destination Choices of Michigan Micropolitan Outmigrants: Key Determinants and Implications for Community Marketing," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 42(1), pages 1-11.
    4. Yicheol Han & Stephan J. Goetz & Taegon Kim & JeongJae Lee, 2013. "Estimating Employment-Related Migration from Overlapping Migration and Commuting Networks," Growth and Change, Wiley Blackwell, vol. 44(3), pages 474-493, September.
    5. Chi, Guangqing & Marcouiller, David W., 2012. "Recreational Homes and Migration to Remote Amenity-Rich Areas," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 42(1), pages 1-14.
    6. Lawson, Megan M. & Rasker, Ray & Gude, Patricia H., 2014. "The Importance of Non-labor Income: An Analysis of Socioeconomic Performance in Western Counties by Type of Non-labor Income," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 44(2).
    7. Nienaber Birte & Manafi Ioana & Vysotskaya Volha & Roman Monica & Marinescu Daniela, 2020. "Challenging Youth Unemployment Through International Mobility," Journal of Social and Economic Statistics, Sciendo, vol. 9(1), pages 5-27, August.
    8. Dimitrios A Giannias & Eleni Sfakianaki, 2013. "Regional and environmental classifications of the 27 EU countries," Journal of Developing Areas, Tennessee State University, College of Business, vol. 47(2), pages 139-157, July-Dece.

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