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An alternative definition of economic regions in the U.S. based on similarities in state business cycles

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  • Theodore M. Crone

Abstract

Since the 1950s the Bureau of Economic analysis (BEA) has grouped the states into eight regions based primarily on cross-sectional similarities in their socioeconomic characteristics. This is the most frequently used grouping of states in the U.S. for economic analysis. Since several recent studies concentrate on similarities and differences in regional business cycles, this paper groups states into regions based not on a broad set of socioeconomic characteristics but on the similarities in their business cycles. The analysis makes use of a consistent set of coincident indexes estimated from a Stock and Watson-type model. The author applies k-means cluster analysis to the cyclical components of these indexes to group the 48 contiguous states into eight regions with similar cycles. Having grouped the states into regions, the author determines the relative strength of cohesion among the states in the various regions. Finally, the author compares the regions defined in this paper with the BEA regions.

Suggested Citation

  • Theodore M. Crone, 2003. "An alternative definition of economic regions in the U.S. based on similarities in state business cycles," Working Papers 03-23, Federal Reserve Bank of Philadelphia.
    • Handle: RePEc:fip:fedpwp:03-23
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    Cited by:

    1. Juan Carlos Duque & Raúl Ramos, 2004. "Spanish unemployment: normative versus analytical regionalisation procedures," ERSA conference papers ersa04p7, European Regional Science Association.
    2. Miller, Tom W. & Sabbarese, Donald, 2012. "An Economic Indicator for the State of the Economy in the Southeastern U.S," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 42(1), pages 1-27.
    3. Keil, Stanley R., 2006. "Did Proximity to Ports Have Any Bearing on Urban Growth between 1970 and 2000?," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 36(1), pages 1-8.

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    Keywords

    Business cycles; Regional economics;

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