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Heterogeneous Convergence

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  • Andrew T. Young
  • Matthew J. Higgins
  • Daniel Levy

    ()
    (Bar-Ilan University)

Abstract

We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels.

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File URL: http://econ.biu.ac.il/files/economics/working-papers/2013-04.pdf
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Bibliographic Info

Paper provided by Department of Economics, Bar-Ilan University in its series Working Papers with number 2013-04.

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Length: 8 pages
Date of creation: Apr 2013
Date of revision:
Handle: RePEc:biu:wpaper:2013-04

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Web page: http://econ.biu.ac.il
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Keywords: Economic Growth; Conditional Convergence; Heterogeneity; U.S. County Level Data;

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Cited by:
  1. Young, Andrew & Higgins, Matthew & Levy, Daniel, 2007. "Black Populations and Economic Growth: An Extreme Bounds Analysis of Mississippi County-Level Data," MPRA Paper 1646, University Library of Munich, Germany.
  2. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2003. "Sigma Convergence Versus Beta Convergence: Evidence from U.S. County-Level Data," Working Papers 2003-06, Department of Economics, Bar-Ilan University.
  3. Higgins, Matthew & Young, Andrew & Levy, Daniel, 2007. "Robust Correlates of County-Level Growth in the U.S," MPRA Paper 3088, University Library of Munich, Germany.

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