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Convergence in Income Inequality: Further Evidence from the Club Clustering Methodology across States in the U.S

Author

Listed:
  • Nicholas Apergis

    (University of Piraeus)

  • Christina Christou

    (Open University of Cyprus)

  • Rangan Gupta

    (University of Pretoria)

  • Stephen M. Miller

    (University of Nevada, Las Vegas)

Abstract

This paper contributes to the sparse literature on inequality convergence by empirically testing convergence across states in the U.S. This sample period encompasses a series of different periods that the existing literature discusses -- the Great Depression (1929–1944), the Great Compression (1945–1979), the Great Divergence (1980-present), the Great Moderation (1982–2007), and the Great Recession (2007–2009). This paper implements the relatively new method of panel convergence testing, recommended by Phillips and Sul (2007). This method examines the club convergence hypothesis, which argues that certain countries, states, sectors, or regions belong to a club that moves from disequilibrium positions to their club-specific steady-state positions. We find strong support for convergence through the late 1970s and early 1980s, and then evidence of divergence. The divergence, however, moves the dispersion of inequality measures across states only a fraction of the way back to their levels in the early part of the twentieth century.

Suggested Citation

  • Nicholas Apergis & Christina Christou & Rangan Gupta & Stephen M. Miller, 2018. "Convergence in Income Inequality: Further Evidence from the Club Clustering Methodology across States in the U.S," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(2), pages 147-161, May.
  • Handle: RePEc:kap:iaecre:v:24:y:2018:i:2:d:10.1007_s11294-018-9675-y
    DOI: 10.1007/s11294-018-9675-y
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    More about this item

    Keywords

    Club convergence; Inequality measures; Panel data; U.S.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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