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Within-Groups Wage Inequality and Schooling: Further Evidence for Portugal

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Listed author(s):
  • Andini, Corrado

    ()

    (University of Madeira)

Abstract

This paper provides further evidence on the positive impact of schooling on within-groups wage dispersion in Portugal, using data on male workers from the 2001 wave of the European Community Household Panel. The issue of schooling endogeneity is taken into account by using the newest available instrumental-variable technique for quantile regression, i.e. the control-function estimator due to Lee (forthcoming, 2007). The findings are compared with earlier results based on different techniques, i.e. the instrumental-variable estimator due to Arias, Hallock and Sosa-Escudero (2001) and the standard exogeneity-based estimator due to Koenker and Bassett (1978).

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File URL: http://ftp.iza.org/dp2828.pdf
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2828.

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Length: 17 pages
Date of creation: Jun 2007
Publication status: published in: Applied Economics, 2010, 42 (28), 3685-3691
Handle: RePEc:iza:izadps:dp2828
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Keywords: schooling; wage inequality; quantile regression; endogeneity;

Other versions of this item:

Find related papers by JEL classification:
  • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
  • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
  • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other

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  1. 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.
  2. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
  3. Corrado Andini, 2007. "Returns to education and wage equations: a dynamic approach," Applied Economics Letters, Taylor & Francis Journals, vol. 14(8), pages 577-579.
  4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  5. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
  6. Corrado Andini, 2007. "The total impact of schooling on within-groups wage inequality in Portugal," Applied Economics Letters, Taylor & Francis Journals, vol. 15(2), pages 85-90.
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Cited by:

  1. Aysit Tansel & Fatma Bircan Bodur, 2012. "Wage Inequality and Returns to Education in Turkey: A Quantile Regression Analysis," Review of Development Economics, Wiley Blackwell, vol. 16(1), pages 107-121, 02.
  2. Joao Pereira & Aurora Galego, 2013. "Intra-Regional Regional Wage Inequality In Portugal: A Quantile Based Decomposition Analisys," ERSA conference papers ersa13p158, European Regional Science Association.
  3. Rafal Kierzenkowski & Isabell Koske, 2012. "Less Income Inequality and More Growth – Are they Compatible? Part 8. The Drivers of Labour Income Inequality – A Literature Review," OECD Economics Department Working Papers 931, OECD Publishing.
  4. Kasey S. Buckles & Daniel M. Hungerman, 2013. "Season of Birth and Later Outcomes: Old Questions, New Answers," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 711-724, July.
  5. Andreas Behr & Ulrich Pötter, 2010. "What determines wage differentials across the EU?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(1), pages 101-120, March.
  6. Biagetti, Marco & Scicchitano, Sergio, 2009. "Wage inequality and returns to schooling in Europe: a semi-parametric approach using EU-SILC data," MPRA Paper 19060, University Library of Munich, Germany.
  7. Michael J. Peel, 2014. "Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type," Accounting and Business Research, Taylor & Francis Journals, vol. 44(5), pages 545-571, October.

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