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Determinants of Inequality in Selected SEE Countries: Results from Shapley Value Decompositions

Author

Listed:
  • Sebastian Leitner

    (The Vienna Institute for International Economic Studies, wiiw)

  • Robert Stehrer

    (The Vienna Institute for International Economic Studies, wiiw)

Abstract
In this paper we provide a comparative analysis of inequality in household consumption per capita in four South-Eastern European countries, Albania, Bosnia & Herzegovina, Bulgaria, and Serbia. The analysis is based on a largely consistent dataset derived from the World Bank’s Living Standards Measurement Study (LSMS) providing data for at least two years for each of these countries and a comparable set of variables. We apply inequality decomposition methods based on regression analysis and variants of the Shapley value approach. We also present results from related methods like a decomposition of the explained variance using different approaches for comparisons. The results suggest that three groups of variables are particularly important for explaining patterns of inequality; these are socio-demographic variables, employment status and education. Regional aspects and nationality or ethnicity plays a less important role though there are some country differences.

Suggested Citation

  • Sebastian Leitner & Robert Stehrer, 2009. "Determinants of Inequality in Selected SEE Countries: Results from Shapley Value Decompositions," wiiw Balkan Observatory Working Papers 84, The Vienna Institute for International Economic Studies, wiiw.
  • Handle: RePEc:wii:bpaper:084
    as

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    References listed on IDEAS

    as
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    2. Canova, Luciano, 2006. "The many dimensions of poverty in Albania: income, wealth and perceptions," MPRA Paper 922, University Library of Munich, Germany.
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    7. Osnat Israeli, 2007. "A Shapley-based decomposition of the R-Square of a linear regression," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(2), pages 199-212, August.
    8. Branko Milanovic, 1999. "Explaining the increase in inequality during transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 7(2), pages 299-341, July.
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    11. Ramani Gunatilaka & Duangkamon Chotikapanich, 2006. "Inequality Trends and Determinants in Sri Lanka 1980-2002: A Shapley Approach to Decomposition," Monash Econometrics and Business Statistics Working Papers 6/06, Monash University, Department of Econometrics and Business Statistics.
    12. Gary S. Fields & Gyeongjoon Yoo, 2000. "Falling Labor Income Inequality In Korea'S Economic Growth: Patterns And Underlying Causes," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(2), pages 139-159, June.
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    Cited by:

    1. Sebastian Leitner & Robert Stehrer, 2011. "Subgroup and Shapely Value Decompositions of Multidimensional Inequality: An Application to South East European Countries," wiiw Balkan Observatory Working Papers 96, The Vienna Institute for International Economic Studies, wiiw.
    2. Bojana Radovanovic & Dragan Filimonovic, 2012. "Developments in the Available Inequality Indexes for the Western Balkan Countries: Trends in the last 10 Years," Book Chapters, in: Paulino Teixeira & António Portugal Duarte & Srdjan Redzepagic & Dejan Eric (ed.), European Integration Process in Western Balkan Countries, edition 1, volume 1, chapter 22, pages 435-454, Institute of Economic Sciences.

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    More about this item

    Keywords

    Inequality decomposition; Gini; Shapley value; Western Balkan countries;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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