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Decomposing the GenderWage Gap with Sample Selection Adjustment: Evidence from Colombia

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  • Alejandro Badel
  • Ximena Peña

Abstract

Despite the remarkable improvement of female labor market characteristics, a sizeablegender wage gap exists in Colombia. We employ quantile regression techniques to examine the degree to which current small differences in the distribution of observablecharacteristics can explain the gender gap. We find that the gap is largely explained bygender differences in the rewards to labor market characteristics and not by differences in the distribution of characteristics. We claim that Colombian women experience both a glass ceiling effect´´ and also (what we call) a "quicksand floor effect" because gender differences in returns to characteristics primarily affect women at the top and the bottom of the distribution. Also, self selection into the labor force is crucial for gender gaps: if all women participated in the labor force, the observed gap would be roughly 50% larger at all quantiles."

Suggested Citation

  • Alejandro Badel & Ximena Peña, 2010. "Decomposing the GenderWage Gap with Sample Selection Adjustment: Evidence from Colombia," Documentos CEDE 7725, Universidad de los Andes, Facultad de Economía, CEDE.
    • Handle: RePEc:col:000089:007725
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    References listed on IDEAS

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    1. Suzanne Duryea & Olga Lucia Jaramillo & Carmen Pagés-Serra, 2003. "Latin American Labor Markets in the 1990s: Deciphering the Decade," Research Department Publications 4331, Inter-American Development Bank, Research Department.
    2. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2005. "Rising Wage Inequality: The Role of Composition and Prices," NBER Working Papers 11628, National Bureau of Economic Research, Inc.
    3. Hugo Ñopo, 2006. "The Gender Wage Gap in Chile 1992-2003 from a Matching Comparisons Perspective," Research Department Publications 4463, Inter-American Development Bank, Research Department.
    4. 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.
    5. Ximena Peña, 2006. "Assortative Matching and the Education Gap," Working Papers gueconwpa~06-06-12, Georgetown University, Department of Economics.
    6. Hoyos, Alejandro & Peña, Ximena & Ñopo, Hugo R., 2010. "The Persistent Gender Earnings Gap in Colombia, 1994-2006," IDB Publications (Working Papers) 1802, Inter-American Development Bank.
    7. de la Rica, Sara & Dolado, Juan J. & Llorens, Vanesa, 2005. "Ceiling and Floors: Gender Wage Gaps by Education in Spain," IZA Discussion Papers 1483, Institute of Labor Economics (IZA).
    8. Ganguli, Ina & Terrell, Katherine, 2005. "Wage Ceilings and Floors: The Gender Gap in Ukraine's Transition," IZA Discussion Papers 1776, Institute of Labor Economics (IZA).
    9. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    10. Donald W. K. Andrews & Marcia M. A. Schafgans, 1998. "Semiparametric Estimation of the Intercept of a Sample Selection Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 497-517.
    11. Pedro Carneiro & Katrine V. Løken & Kjell G. Salvanes, 2015. "A Flying Start? Maternity Leave Benefits and Long-Run Outcomes of Children," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 365-412.
    12. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    13. 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.
    14. Wendy Cunningham, 2007. "Minimum Wages and Social Policy : Lessons from Developing Countries," World Bank Publications - Books, The World Bank Group, number 6760.
    15. Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Gender gap; Mincer; wage; semiparametric; quantile regression; selection.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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