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Wages differentials in Ecuador: A regional approach with sample selection of Heckman and Oaxaca-Blinder decomposition

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  • Alvarado, Rafael

Abstract

This paper estimates and decomposes wage differentials in Ecuador. Is corrected by self-selection bias with the two-step methodology proposed by Heckman (1979) and Oaxaca-Blinder decomposition (1973) is checked whether the differences found are due to the initial endowment of human capital or potential discrimination. On the other hand, examines the influence of geography and ethnicity in the level of wages. The data used are from the Survey of Income and Expenses of the National Institute of Statistics and Censuses (INEC, 2009). Through decomposition is verified that the gender wage gap for men, job security for those with contract labor and marital status for married people are due to unobserved factors. While the ethnic wage gap by geographical area, natural areas and by economic sector are due to differences in the initial endowment of human capital.

Suggested Citation

  • Alvarado, Rafael, 2012. "Wages differentials in Ecuador: A regional approach with sample selection of Heckman and Oaxaca-Blinder decomposition," MPRA Paper 37470, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:37470
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    References listed on IDEAS

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    1. Picchio, Matteo & Mussida, Chiara, 2011. "Gender wage gap: A semi-parametric approach with sample selection correction," Labour Economics, Elsevier, vol. 18(5), pages 564-578, October.
    2. Barry R. Chiswick, 2006. "Jacob Mincer, Experience and the Distribution of Earnings," Springer Books, in: Shoshana Grossbard (ed.), Jacob Mincer A Pioneer of Modern Labor Economics, chapter 10, pages 109-126, Springer.
    3. Lam, David & Schoeni, Robert F, 1993. "Effects of Family Background on Earnings and Returns to Schooling: Evidence from Brazil," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 710-740, August.
    4. 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.
    5. Alaniz, Enrique & Gindling, T.H. & Terrell, Katherine, 2011. "The impact of minimum wages on wages, work and poverty in Nicaragua," Labour Economics, Elsevier, vol. 18(S1), pages 45-59.
    6. Heckman, James & Layne-Farrar, Anne & Todd, Petra, 1996. "Human Capital Pricing Equations with an Application to Estimating the Effect of Schooling Quality on Earnings," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 562-610, November.
    7. Takashi Kurosaki & Humayun Khan, 2006. "Human Capital, Productivity, and Stratification in Rural Pakistan," Review of Development Economics, Wiley Blackwell, vol. 10(1), pages 116-134, February.
    8. Dante Contreras & Emerson Melo & Susana Ojeda, 2005. "¿Estimando el retorno a la educación o a los no observables?: evidencia de datos de panel," Estudios de Economia, University of Chile, Department of Economics, vol. 32(2 Year 20), pages 187-199, December.
    9. Garcia-Aracil, Adela & Winter, Carolyn, 2006. "Gender and ethnicity differentials in school attainment and labor market earnings in Ecuador," World Development, Elsevier, vol. 34(2), pages 289-307, February.
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    More about this item

    Keywords

    Wages differentials. Returns to human capital;

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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