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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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Keywords: Economic Growth; Conditional Convergence; Heterogeneity; U.S. County Level Data;

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References

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Cited by:
  1. Matthew J. Higgins & Daniel Levy & Andrew T. Young, 2007. "Robust Correlates of County-level Growth in the U.S," Emory Economics 0708, Department of Economics, Emory University (Atlanta).
  2. Andrew Young & Matthew Higgins & Daniel Levy, 2005. "Sigma-Convergence Versus Beta-Convergence: Evidence from U.S. County-Level Data," Macroeconomics 0505008, EconWPA.
  3. Matthew J. Higgins & Daniel Levy & Andrew T. Young, 2007. "Black Populations and Economic Growth: An Extreme Bounds Analysis of Mississippi County-level Data," Emory Economics 0701, Department of Economics, Emory University (Atlanta).

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