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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. Jaume Garcia & Pedro J. Hernández & Ángel López Nicolás, 1998. "How wide is the gap? An investigation of gender wage differences using quantile regression," Economics Working Papers 287, Department of Economics and Business, Universitat Pompeu Fabra.
  2. Dorothe Bonjour & Michael Gerfin, 1997. "The Unequal Distribution of Unequal Pay - An Empirical Analysis of the Gender Wage Gap in Switzerland," Diskussionsschriften dp9702, Universitaet Bern, Departement Volkswirtschaft.
  3. 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.
  4. 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.
  5. Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 1999. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," NBER Working Papers 7003, National Bureau of Economic Research, Inc.
  6. 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.
  7. 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.
  8. Francine D. Blau & Lawrence M. Kahn, 2001. "Understanding International Differences in the Gender Pay Gap," NBER Working Papers 8200, National Bureau of Economic Research, Inc.
  9. 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," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
  10. 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.
  11. Ricardo Paredes & Luis Riveros, 1994. "Gender wage gaps in Chile. A long term view: 1958 - 1990," Estudios de Economia, University of Chile, Department of Economics, vol. 21(esp Year ), pages 209-230, November.
  12. Barsky R. & Bound J. & Charles K.K. & Lupton J.P., 2002. "Accounting for the Black-White Wealth Gap: A Nonparametric Approach," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 663-673, September.
  13. Dolton, Peter J & Makepeace, Gerald H, 1987. "Marital Status, Child Rearing and Earnings Differentials in the Graduate Labour Market," Economic Journal, Royal Economic Society, vol. 97(388), pages 897-922, December.
  14. 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.
  15. Stephen Knowles & Paula K. Lorgelly, 2002. "Are educational gender gaps a brake on economic development? Some cross-country empirical evidence," Oxford Economic Papers, Oxford University Press, vol. 54(1), pages 118-149, January.
  16. 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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  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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Cited by:
  1. 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 41th Brazilian Economics Meeting] 214, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].

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