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Decomposing the Gender Pay Gap in Colombia: Do Industry and Occupation Matter?

Author

Listed:
  • Lamprea-Barragan, T. C
  • García- Suaza, A. F.
Abstract
This paper aims to quantify at which extent industry and occupation characteristics explain the gender pay gap in Colombia. To quantify the role of these factors we perform counterfactual decomposition methods that allow to split the total gap into the contribution of the gender share of employment at the industry level, the demographic composition and the characteristics pay premia. This is possible by adapting the classical Oaxaca-Blinder decomposition to a two-step procedure, which is illustrated through Monte Carlo simulations. Using Colombian data for 2019 and exploiting the heterogeneity at the industry and the occupation level, findings suggest that the three components shape the gender pay gap. While differences in returns are the main force driver of the existing gap, the gender employment share, and the composition of workers across industries and occupations provide mixed results.

Suggested Citation

  • Lamprea-Barragan, T. C & García- Suaza, A. F., 2021. "Decomposing the Gender Pay Gap in Colombia: Do Industry and Occupation Matter?," Documentos de Trabajo 19437, Universidad del Rosario.
    • Handle: RePEc:col:000092:019437
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    References listed on IDEAS

    as
    1. Das, Smita & Kotikula, Aphichoke, 2019. "Gender-Based Employment Segregation: Understanding Causes and Policy Interventions," Jobs Group Papers, Notes, and Guides 30947812, The World Bank.
    2. Brenda Gannon & Robert Plasman & Francois Rycx & Ilan Tojerow, 2007. "Inter-Industry Wage Differentials and the Gender Wage Gap: Evidence from European Countries," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 135-155.
    3. repec:ulb:ulbeco:2013/138902 is not listed on IDEAS
    4. Juan Pablo Atal & Hugo Nopo & Natalia Winder, 2009. "New Century, Old Disparities: Gender and Ethnic Wage Gaps in Latin America," Research Department Publications 4640, Inter-American Development Bank, Research Department.
    5. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    6. Robert Gibbons & Lawrence Katz, 1992. "Does Unmeasured Ability Explain Inter-Industry Wage Differentials?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(3), pages 515-535.
    7. Krueger, Alan B & Summers, Lawrence H, 1988. "Efficiency Wages and the Inter-industry Wage Structure," Econometrica, Econometric Society, vol. 56(2), pages 259-293, March.
    8. F. L. Jones, 1983. "On Decomposing the Wage Gap: A Critical Comment on Blinder's Method," Journal of Human Resources, University of Wisconsin Press, vol. 18(1), pages 126-130.
    9. Jacob Mincer & Solomon Polachek, 1974. "Family Investments in Human Capital: Earnings of Women," NBER Chapters, in: Marriage, Family, Human Capital, and Fertility, pages 76-110, National Bureau of Economic Research, Inc.
    10. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    11. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    12. Michael Baker & Kirsten Cornelson, 2018. "Gender-Based Occupational Segregation and Sex Differences in Sensory, Motor, and Spatial Aptitudes," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1749-1775, October.
    13. Leung, Danny, 2006. "The male/female earnings gap and female self-employment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(5), pages 759-779, October.
    14. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    15. Isabelle Sin & Steven Stillman & Richard Fabling, 2017. "What drives the gender wage gap? Examining the roles of sorting, productivity differences, and discrimination," Working Papers 17_15, Motu Economic and Public Policy Research.
    16. Daniel Lechmann & Claus Schnabel, 2012. "Why is there a gender earnings gap in self-employment? A decomposition analysis with German data," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-25, December.
    17. Gallen, Yana & Lesner, Rune V. & Vejlin, Rune, 2019. "The labor market gender gap in Denmark: Sorting out the past 30 years," Labour Economics, Elsevier, vol. 56(C), pages 58-67.
    18. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    19. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    20. 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.
    21. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    22. Claudia Goldin, 2014. "A Grand Gender Convergence: Its Last Chapter," American Economic Review, American Economic Association, vol. 104(4), pages 1091-1119, April.
    23. Greg Hundley, 2001. "Why Women Earn Less Than Men in Self-Employment," Journal of Labor Research, Transaction Publishers, vol. 22(4), pages 817-829, October.
    24. repec:ulb:ulbeco:2013/134392 is not listed on IDEAS
    25. William C. Horrace & Ronald L. Oaxaca, 2001. "Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem," ILR Review, Cornell University, ILR School, vol. 54(3), pages 611-618, April.
    26. Eric S. Lin, 2007. "On the standard errors of Oaxaca-type decompositions for inter-industry gender wage differentials," Economics Bulletin, AccessEcon, vol. 10(6), pages 1-11.
    27. Yun, Myeong-Su, 2006. "Revisiting Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem," IZA Discussion Papers 2427, Institute of Labor Economics (IZA).
    28. Guillermo E. Perry & William F. Maloney & Omar S. Arias & Pablo Fajnzylber & Andrew D. Mason & Jaime Saavedra-Chanduvi, 2007. "Informality : Exit and Exclusion," World Bank Publications - Books, The World Bank Group, number 6730.
    29. José A. F. Machado & José Mata, 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, May.
    30. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
    31. 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.
    32. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    33. Clain, Suzanne Heller, 2000. "Gender differences in full-time self-employment," Journal of Economics and Business, Elsevier, vol. 52(6), pages 499-513.
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    More about this item

    Keywords

    Gender pay gap; decomposition methods; sorting.;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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