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Tiebout Sorting in Metropolitan Areas

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  • Kenneth Bickers
  • Richard N. Engstrom

Abstract

In this article, we tackle the issue of sorting at the metropolitan area by utilizing an alternative methodological approach that permits us to avoid problems plaguing earlier studies. For this analysis, we take two Metropolitan Statistical Areas (MSAs) as our test cases: the Houston MSA and the Atlanta MSA. For each metropolitan area, we employ Monte Carlo computer simulations to randomly create a large number of metropolitan “jurisdictional” groupings. Based upon these Monte Carlos, we are able to estimate the level of jurisdictional homogeneity that is attributable to random chance. The observed levels of sorting, including the increasing homogeneity as populations decrease, are entirely consistent with what one might find if clusters of households were randomly grouped together into municipalities.

Suggested Citation

  • Kenneth Bickers & Richard N. Engstrom, 2006. "Tiebout Sorting in Metropolitan Areas," Review of Policy Research, Policy Studies Organization, vol. 23(6), pages 1181-1198, November.
    • Handle: RePEc:bla:revpol:v:23:y:2006:i:6:p:1181-1198
    DOI: 10.1111/j.1541-1338.2006.00259.x
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    Cited by:

    1. Lee Hachadoorian, 2016. "Homogeneity tests of Tiebout sorting: A case study at the interface of city and suburb," Urban Studies, Urban Studies Journal Limited, vol. 53(5), pages 1000-1021, April.
    2. Saltz, Ira S. & Capener, Don, 2016. "60 Years Later and Still Going Strong: The Continued Relevance of the Tiebout Hypothesis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(1).

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