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Heterogeneous convergence

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  • 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.

Suggested Citation

  • Young, Andrew T. & Higgins, Matthew J. & Levy, Daniel, 2013. "Heterogeneous convergence," Economics Letters, Elsevier, vol. 120(2), pages 238-241.
  • Handle: RePEc:eee:ecolet:v:120:y:2013:i:2:p:238-241
    DOI: 10.1016/j.econlet.2013.04.017
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    Cited by:

    1. Gerelmaa, Lkhagva & Kotani, Koji, 2016. "Further investigation of natural resources and economic growth: Do natural resources depress economic growth?," Resources Policy, Elsevier, vol. 50(C), pages 312-321.
    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. Andrew T. Young & Matthew J. Higgins & Donald J. Lacombe & Briana Sell, 2014. "The Direct and Indirect Effects of Small Business Administration Lending on Growth: Evidence from U.S. County-Level Data," Working Papers 14-35, Department of Economics, West Virginia University.
    4. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2008. "Sigma Convergence versus Beta Convergence: Evidence from U.S. County-Level Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 1083-1093, August.
    5. Bologna, Jamie & Young, Andrew T. & Lacombe, Donald J., 2016. "A spatial analysis of incomes and institutional quality: evidence from US metropolitan areas," Journal of Institutional Economics, Cambridge University Press, vol. 12(01), pages 191-216, March.
    6. 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).
    7. Roland-Holst, David & Sugiyarto, Guntur, 2014. "Growth Horizons for a Changing Asian Regional Economy," ADB Economics Working Paper Series 392, Asian Development Bank.
    8. Tang, Pan & Zhang, Ying & Baaquie, Belal E. & Podobnik, Boris, 2016. "Classical convergence versus Zipf rank approach: Evidence from China’s local-level data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 246-253.
    9. Mateusz Pipieñ & Sylwia Roszkowska, 2017. "The Heterogeneity of Convergence in Transition Countries," Lodz Economics Working Papers 7/2017, University of Lodz, Faculty of Economics and Sociology.

    More about this item

    Keywords

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

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General

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