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Characterization of inequality changes through microeconometric decompositions. The case of Greater Buenos Aires

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  • Leonardo Gasparini
  • Mariana Marchionni
  • Walter Sosa Escudero

Abstract

We apply a variant of the microeconometric decomposition methodology proposed in Bourguignon et al. (1998) to assess the relevance of various factors that affected inequality in the period 1986-1998 in the Greater Buenos Aires area. The results of the paper suggest that the small change in inequality between 1986 and 1992 was the result of mild forces that compensated each other. In contrast, between 1992 and 1998 nearly all factors had some role in increasing inequality to unprecedented levels. The increase in the returns to education, changes in endowments of unobservable factors and their remunerations, and the fall in hours of work by low-income people are particularly important to explain the growth in inequality in the nineties. In contrast, although Argentina witnessed dramatic changes in the gender wage gap, the unemployment rate and the educational structure, these factors appear to have had only a mild effect on the household income distribution.

Suggested Citation

  • Leonardo Gasparini & Mariana Marchionni & Walter Sosa Escudero, 2000. "Characterization of inequality changes through microeconometric decompositions. The case of Greater Buenos Aires," Department of Economics, Working Papers 025, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    • Handle: RePEc:lap:wpaper:025
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    References listed on IDEAS

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    1. Timothy Smeeding & Gunther Schmaus & Brigitte Buhmann & Lee Rainwater, 1988. "Equivalence Scales, Well-Being, Inequality and Poverty: Sensitivity Estimates Across Ten Countries Using the LIS Database," LIS Working papers 17, LIS Cross-National Data Center in Luxembourg.
    2. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    3. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    4. Cesar Patricio Bouillon & Arianna Legovini & Nora Lustig, 2003. "Rising Inequality in Mexico: Household Characteristics and Regional Effects," Journal of Development Studies, Taylor & Francis Journals, vol. 39(4), pages 112-133.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    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.
    7. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    8. Brigitte Buhmann & Lee Rainwater & Guenther Schmaus & Timothy M. Smeeding, 1988. "Equivalence Scales, Well‐Being, Inequality, And Poverty: Sensitivity Estimates Across Ten Countries Using The Luxembourg Income Study (Lis) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    9. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    10. François Bourguignon & Martin Fournier & Marc Gurgand, 1999. "Fast Development with a Stable Income Distribution : Taiwan, 1979-1994," Working Papers 99-21, Center for Research in Economics and Statistics.
    11. Buhmann, Brigitte, et al, 1988. "Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates across Ten Countries Using the Luxembourg Income Study (LIS) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
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    More about this item

    Keywords

    C15; D31; I21; J23; J31;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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