Tiebout Sorting in Metropolitan Areas

Kenneth Bickers and Richard N. Engstrom

Review of Policy Research, 2006, vol. 23, issue 6, 1181-1198

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.

Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://doi.org/10.1111/j.1541-1338.2006.00259.x

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:revpol:v:23:y:2006:i:6:p:1181-1198

Ordering information: This journal article can be ordered from
http://www.wiley.com/bw/subs.asp?ref=1541-132x

Access Statistics for this article

Review of Policy Research is currently edited by Christopher Gore

More articles in Review of Policy Research from Policy Studies Organization Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().