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Heterogeneous convergence

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Author Info

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

Abstract

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

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Bibliographic Info

Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 120 (2013)
Issue (Month): 2 ()
Pages: 238-241

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Handle: RePEc:eee:ecolet:v:120:y:2013:i:2:p:238-241

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Web page: http://www.elsevier.com/locate/ecolet

Related research

Keywords: Economic growth; Conditional convergence; Heterogeneity; US county level data;

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References

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Cited by:
  1. 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.
  2. 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).
  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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