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Understanding Inequality Trends:Microsimulation Decomposition for Italy

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  • Carlo V. Fiorio

Abstract

This paper suggests overcoming some limitations of traditional inequalitydecomposition methods by developing a combination of Burtless (1999) and DiNardoet al. (1996), two different microsimulation methods for decomposing inequality. Byusing this combination it is possible to take into consideration the dispersion ofincome sources as well as the socio-demographic evolution of the population understudy, in a single framework and across many years. This methodology maximizesclarity of results and allows one to easily perform tests on results. An application toItalian household inequality is provided to analyze marginal and joint effects ofdemographic trends and changed dispersion of different income factors between 1977and 2002.

Suggested Citation

  • Carlo V. Fiorio, 2006. "Understanding Inequality Trends:Microsimulation Decomposition for Italy," STICERD - Distributional Analysis Research Programme Papers 78, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  • Handle: RePEc:cep:stidar:78
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    Cited by:

    1. Muller, Adrian, 2006. "Clarifying Poverty Decomposition," Working Papers in Economics 217, University of Gothenburg, Department of Economics, revised 17 Nov 2008.
    2. Peter Lindner, 2015. "Factor decomposition of the wealth distribution in the euro area," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(2), pages 291-322, May.

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    More about this item

    Keywords

    Microsimulation; counterfactual analysis; household inequality trend; inequality decomposition.;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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