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Earning Differentials By Occupational Categories And Discrimination: Gender, Race And Regions

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  • FRANCISCA LÍVIA S. MENEZES
  • RONALDO A. ARRAES
  • ANDREI G. SIMONASS

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  • Francisca Lívia S. Menezes & Ronaldo A. Arraes & Andrei G. Simonass, 2014. "Earning Differentials By Occupational Categories And Discrimination: Gender, Race And Regions," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 214, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2013:214
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    References listed on IDEAS

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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. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2003. "Dispersion in the economic return to schooling," Labour Economics, Elsevier, vol. 10(2), pages 205-214, April.
    4. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, October.
    5. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    6. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    7. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    9. Albrecht, James & van Vuuren, Aico & Vroman, Susan, 2009. "Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands," Labour Economics, Elsevier, vol. 16(4), pages 383-396, August.
    10. Bernd Fitzenberger & Claudia Kurz, 2003. "New insights on earnings trends across skill groups and industries in West Germany," Empirical Economics, Springer, vol. 28(3), pages 479-514, July.
    11. Dusan Paredes, 2012. "The impact of the occupations and economic activities on the gender wage gap using a counterfactual framework," Documentos de Trabajo en Economia y Ciencia Regional 22, Universidad Catolica del Norte, Chile, Department of Economics, revised Apr 2012.
    12. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    13. Blau, Francine D & Kahn, Lawrence M, 1996. "International Differences in Male Wage Inequality: Institutions versus Market Forces," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 791-836, August.
    14. Xulia GonzÂlez & Daniel Miles, 2001. "Wage inequality in a developing country: decrease in minimum wage or increase in education returns," Empirical Economics, Springer, vol. 26(1), pages 135-148.
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