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A Note on the Spatial Correlation Structure of County-Level Growth in the U.S

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  • Christopher H. Wheeler

Abstract

This paper examines the spatial correlation structure of county-level growth across the contiguous United States. Estimated spatial correlograms using data on four different measures of aggregate economic activity-population, employment, income, and earnings-over the period 1984-1994 indicate that cross-county interdependence is limited to relatively short ranges of distance. For each of the measures, the average correlation between the growth rates of two counties approaches zero within a range of approximately 200 miles. Moreover, the rate at which correlations decline with distance is not uniform. Inside of roughly 40 miles correlations show only a very slow rate of decline whereas beyond this range they drop off at a substantially higher rate. Copyright 2001 Blackwell Publishers

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Journal of Regional Science.

Volume (Year): 41 (2001)
Issue (Month): 3 ()
Pages: 433-449

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Handle: RePEc:bla:jregsc:v:41:y:2001:i:3:p:433-449

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Cited by:
  1. Marlon G. Boarnet & Saksith Chalermpong & Elizabeth Geho, 2005. "Specification issues in models of population and employment growth," Papers in Regional Science, Wiley Blackwell, vol. 84(1), pages 21-46, 03.
  2. Krister Sandberg, 2004. "Growth of GRP in Chinese Provinces. A Test for Spatial Spillovers," ERSA conference papers ersa04p596, European Regional Science Association.
  3. Sandberg, Krister, 2004. "Hedonic Prices, Economic Growth, and Spatial Dependence," UmeÃ¥ Economic Studies 631, Umeå University, Department of Economics.
  4. Garmestani, Ahjond S. & Allen, Craig R. & Gallagher, Colin M., 2008. "Power laws, discontinuities and regional city size distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 209-216, October.
  5. Jeanty, P. Wilner & Ulimwengu, John Mususa, 2011. "Poverty rate and government income transfers: A spatial simultaneous equations approach," IFPRI discussion papers 1076, International Food Policy Research Institute (IFPRI).
  6. Paul Voss & David Long & Roger Hammer & Samantha Friedman, 2006. "County child poverty rates in the US: a spatial regression approach," Population Research and Policy Review, Springer, vol. 25(4), pages 369-391, August.
  7. Nica, M., 2010. "Small Business Clusters in Oklahoma: MAR or Jacobs Effects?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 10(2).

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