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Migration Data and Matrix Methods: Deriving the Network of U.S. Central Places

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  • E. Anthon Eff

Abstract

Inter-county flows of commuters have long been used by the Bureau of the Census to identify MSAs and by the BEA to identify its Economic Areas. This paper looks at U.S. interregional flows of commuters, population, and goods in an effort to identify broader patterns of relationships among U.S. regions. A region’s primary flow up the central place hierarchy is found using tools commonly employed in Social Network Analysis. The results allow classification of regions in two ways: 1) as levels in a hierarchy; or 2) as a member of a group of regions all tied to the same member of the next-highest level of the hierarchy.

Suggested Citation

  • E. Anthon Eff, 2005. "Migration Data and Matrix Methods: Deriving the Network of U.S. Central Places," Working Papers 200508, Middle Tennessee State University, Department of Economics and Finance.
    • Handle: RePEc:mts:wpaper:200508
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    File URL: http://capone.mtsu.edu/berc/working/MTSU200508.pdf
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    Cited by:

    1. Cristiano Cechella & Tomaz Dentinho & Joaquim Silva, 2012. "World centralities for political, demographic and market purposes," Letters in Spatial and Resource Sciences, Springer, vol. 5(2), pages 73-83, July.

    More about this item

    Keywords

    Central Place Theory; Network Analysis; Migration; Trade;
    All these keywords.

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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