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Are U.S. regions converging? Using new econometric methods to examine old issues

Author

Listed:
  • Timothy J. Vogelsang

    (Cornell University, Ithaca, NY 14853)

  • Marc Tomljanovich

    (Department of Economics, Colgate University, Hamilton, NY 13346. E-mail: mtomljanovich@colgate.edu.)

Abstract

Are different regions of the United States experiencing convergence in levels of GDP? Carlino and Mills (1993) examined this question through time-series techniques, and found some evidence in favor of regional convergence. This paper checks the robustness of their results by using new econometric methods proposed by Vogelsang (1998). Our results, together with results from Loewy and Papell (1996), suggest there is stronger evidence in favor of convergence than previously thought based on the results of Carlino and Mills (1993).

Suggested Citation

  • Timothy J. Vogelsang & Marc Tomljanovich, 2002. "Are U.S. regions converging? Using new econometric methods to examine old issues," Empirical Economics, Springer, vol. 27(1), pages 49-62.
    • Handle: RePEc:spr:empeco:v:27:y:2002:i:1:p:49-62
    Note: received: September 2000/Final version received: December 2000
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    Keywords

    Regional per-capita income · time series models · beta convergence · trend functions · serial correlation.;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General

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