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The impact of the occupations and economic activities on the gender wage gap using a counterfactual framework

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Author Info

  • Dusan Paredes

    ()
    (IDEAR - Department of Economics, Universidad Católica del Norte - Chile)

Abstract

This paper presents a methodology to estimate the individual gender wage gap as the difference between wages of the women and their counterfactuals defined by Coarsened Exact Matching. If the women show a higher wage than comparable men, then it is called positive gap. Using eight surveys between 1992 and 2009 for Chile, a stable average of 44% of women show positive gap. This group is considered interesting from the policy perspective because they can provide lessons to decrease the negative discrimination observed on women. Additional analysis shows that the occupations such as Managers, Professionals and Technicians and Associated Professionals always increase the positive gap. Finally, the most successful economic activity to increase the positive gap is Finance and Insurance Activities.

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File URL: https://sites.google.com/a/ucn.cl/wpeconomia/archivos/WP2012-08.pdf
File Function: First version, 2012
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Bibliographic Info

Paper provided by Universidad Catolica del Norte, Chile, Department of Economics in its series Documentos de Trabajo en Economia y Ciencia Regional with number 22.

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Length: 33 pages
Date of creation: Apr 2012
Date of revision: Apr 2012
Handle: RePEc:cat:dtecon:dt201208

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Related research

Keywords: Gender earnings gap; statistical discrimination; occupational sorting;

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References

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  1. Wiji Arulampalam & Alison Booth & Mark L. Bryan, 2006. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wages Distribution," CEPR Discussion Papers 510, Centre for Economic Policy Research, Research School of Economics, Australian National University.
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  3. Jeanette Fuentes & Amalia Palma & Rodrigo Montero, 2005. "Discriminación salarial por género en Chile: una mirada global," Estudios de Economia, University of Chile, Department of Economics, vol. 32(2 Year 20), pages 133-157, December.
  4. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
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  6. Dan A. Black & Amelia M. Haviland & Seth G. Sanders & Lowell J. Taylor, 2008. "Gender Wage Disparities among the Highly Educated," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 630-659.
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  8. Xin Meng & Junsen Zhang & Pak-Wai Liu, 2000. "Sectoral gender wage differentials and discrimination in the transitional Chinese economy," Journal of Population Economics, Springer, vol. 13(2), pages 331-352.
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  13. Judith Fields & Edward N. Wolff, 1995. "Interindustry wage differentials and the gender wage gap," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 49(1), pages 105-120, October.
  14. Francine D. Blau & Lawrence M. Kahn, 2003. "Understanding International Differences in the Gender Pay Gap," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 106-144, January.
  15. Markus Fr�lich, 2007. "Propensity score matching without conditional independence assumption--with an application to the gender wage gap in the United Kingdom," Econometrics Journal, Royal Economic Society, vol. 10(2), pages 359-407, 07.
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  1. The impact of the occupations and economic activities on the gender wage gap using a counterfactual framework
    by Maximo Rossi in Wikiprogress América Latina on 2012-05-22 16:37:00

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