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Regression-based Inequality Decomposition: Pitfalls and a Solution Procedure

Author

Listed:
  • Guanghua Wan
Abstract
This paper explores pitfalls in regression-based inequality decompositions. A simple procedure is developed for rectifying these pitfalls. The procedure does not impose any restrictions on the underlying regression model and it can be applied to any inequality measure(s). Once combined with conventional decomposition methods or the Shapley value approach of Shorrocks (1999), what is being proposed becomes a most general and powerful framework for regression-based in equality decomposition.

Suggested Citation

  • Guanghua Wan, 2002. "Regression-based Inequality Decomposition: Pitfalls and a Solution Procedure," WIDER Working Paper Series DP2002-101, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:dp2002-101
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    File URL: https://www.wider.unu.edu/sites/default/files/dp2002-101.pdf
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    References listed on IDEAS

    as
    1. Anthony Shorrocks & Daniel Slottje, 2002. "Approximating unanimity orderings: An application to Lorenz dominance," Journal of Economics, Springer, vol. 77(1), pages 91-117, December.
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    4. Wan, Guang Hua, 2001. "Changes in regional inequality in rural China: decomposing the Gini index by income sources," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(3), pages 1-21.
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    6. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
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    8. Dagum, Camilo, 1990. "On the relationship between income inequality measures and social welfare functions," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 91-102.
    9. Jonathan Morduch & Terry Sicular, 2002. "Rethinking Inequality Decomposition, With Evidence from Rural China," Economic Journal, Royal Economic Society, vol. 112(476), pages 93-106, January.
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