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Income Inequality and Education from ECHP data

Author

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  • Marco LILLA

    (Universita' Politecnica delle Marche, Dipartimento di Economia)

Abstract

This paper analyses income inequality and its changes over the period 1993-2000 for a set of 13 Countries in European Community Household Panel (ECHP) survey. Focusing on wages and incomes of workers in general, inequality is related to education as a proxy of individual abilities, skills. Estimation of education premia is performed by quantile regressions to stress dikerences in income distribution and questioning the true impact of education. The same estimates are used to decompose income inequality and show the rise in residual inequality.

Suggested Citation

  • Marco LILLA, 2008. "Income Inequality and Education from ECHP data," Working Papers 311, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:311
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    References listed on IDEAS

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    1. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    2. Sarah Voitchovsky, 2005. "Does the Profile of Income Inequality Matter for Economic Growth?," Journal of Economic Growth, Springer, vol. 10(3), pages 273-296, September.
    3. Machin, Stephen, 1996. "Wage Inequality in the UK," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 12(1), pages 47-64, Spring.
    4. Thomas Lemieux, 2008. "The changing nature of wage inequality," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(1), pages 21-48, January.
    5. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    6. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    8. Murphy, Kevin M & Welch, Finis, 1993. "Inequality and Relative Wages," American Economic Review, American Economic Association, vol. 83(2), pages 104-109, May.
    9. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    10. Lars Ljungqvist & Thomas J. Sargent, 1998. "The European Unemployment Dilemma," Journal of Political Economy, University of Chicago Press, vol. 106(3), pages 514-550, June.
    11. repec:bla:obuest:v:63:y:2001:i:0:p:697-713 is not listed on IDEAS
    12. Wood Júnior, Thomaz, 1995. "Workers," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 35(2), March.
    13. Adrian Wood, 1997. "How Trade Hurt Unskilled Workers," Palgrave Macmillan Books, in: Jitendralal Borkakoti & Chris Milner (ed.), International Trade and Labour Markets, chapter 7, pages 140-168, Palgrave Macmillan.
    14. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    15. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    16. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    17. Marco Lilla, 2005. "Disuguaglianze salariali in Italia: nuove evidenze dai microdati SHIW," Politica economica, Società editrice il Mulino, issue 1, pages 71-102.
    18. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    19. Claudia Goldin & Lawrence F. Katz, 1999. "The Returns to Skill in the United States across the Twentieth Century," NBER Working Papers 7126, National Bureau of Economic Research, Inc.
    20. 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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    Cited by:

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    More about this item

    Keywords

    education premium; inequality; quantile regression;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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