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Brecha salarial por género en México: Desde un enfoque regional, según su exposición a la apertura comercial 2005-2015

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  • Reyna Elizabeth Rodriguez Pérez

    (Universidad Autónoma de Coahuila)

Abstract

El objetivo de esta investigación es analizar la brecha salarial por género a lo largo de la distribución salarial en las regiones de México. Para ello se aplica, la metodología de Melly (2005) con la Encuesta de Ocupación y Empleo (ENOE) 2005-2015. Los resultados revelan que, en México, y sus regiones la desigualdad salarial por género, ha disminuido, aunque esta se encuentra en contra de las mujeres. La mayor parte de las diferencias no se explican por las características productivas, acentuándose en la parte alta de la distribución salarial, en las regiones más expuestas a la apertura comercial.

Suggested Citation

  • Reyna Elizabeth Rodriguez Pérez, 2018. "Brecha salarial por género en México: Desde un enfoque regional, según su exposición a la apertura comercial 2005-2015," Nóesis. Revista de Ciencias Sociales y Humanidades, Nóesis. Revista de Ciencias Sociales y Humanidades, vol. 27, pages 19-38, 54.
  • Handle: RePEc:cjz:noesis:254
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    References listed on IDEAS

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    1. Arceo-Gómez, Eva O. & Campos-Vázquez, Raymundo M., 2014. "Evolución de la brecha salarial de género en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(323), pages .619-653, julio-sep.
    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. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, May.
    4. Ted Enamorado & Ana Carolina Izaguirre & Hugo Nopo, 2009. "Gender Wage Gaps in Central American Countries: Evidence from a Non-Parametric Approach," Research Department Publications 4639, Inter-American Development Bank, Research Department.
    5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    6. Leonardo Gasparini, 2006. "La distribución del ingreso: un breve resúmen de tres décadas," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1-2), pages 53-76, January-D.
    7. 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.
    8. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    9. Gurleen K. Popli, 2013. "Gender wage differentials in Mexico: a distributional approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 295-319, February.
    10. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    11. repec:idb:brikps:6776 is not listed on IDEAS
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    More about this item

    Keywords

    Economía laboral; Diferencias salariales; Regiones.;
    All these keywords.

    JEL classification:

    • Z10 - Other Special Topics - - Cultural Economics - - - General

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