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The Gender Wage Gap in Peru 1986-2000: Evidence from a Matching Comparisons Approach

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  • Hugo Ñopo

    (Inter-American Development Bank)

Abstract

Applying the methodology developed in Ñopo (2004), I analyze the evolution of the gender wage gap in Peru from 1986 to 2000. The advantage of such methodology is two-fold. First, it recognizes that the supports of observable characteristics distributions differ substantially. Second, it provides deeper insights regarding the distribution of the unexplained gender differences in earnings. For the period under analysis, males earn on average 45% more than females. This wage gap is composed of three additive elements: 11% differences in supports, 6% differences in distributions of individual characteristics and 28% unexplainable differences. About half of these unexplainable differences occur in the highest quintile of the wage distribution.

Suggested Citation

  • Hugo Ñopo, 2004. "The Gender Wage Gap in Peru 1986-2000: Evidence from a Matching Comparisons Approach," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1-2), pages 9-37, January-D.
  • Handle: RePEc:akh:journl:537
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    File URL: https://revistas.unlp.edu.ar/Economica/article/view/5521/4524
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    References listed on IDEAS

    as
    1. Saavedra-Chanduví, Jaime & Torero, Máximo, 2000. "Labor Market Reforms and Their Impact on Formal Labor Demand and Job Market Turnover: The Case of Peru," IDB Publications (Working Papers) 3269, Inter-American Development Bank.
    2. 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.
    3. Jaime Saavedra-Chanduví & Máximo Torero, 2000. "Labor Market Reforms and Their Impact on Formal Labor Demand and Job Market Turnover: The Case of Peru," Research Department Publications 3095, Inter-American Development Bank, Research Department.
    4. 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.
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    Citations

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    Cited by:

    1. Hugo Ñopo & Alberto Gonzales, 2008. "Gender and Ethnic Wage Gaps in Guatemala from a Matching Comparisons Perspective," Research Department Publications 4587, Inter-American Development Bank, Research Department.
    2. Galarza, Francisco B. & Yamada, Gustavo, 2014. "Labor Market Discrimination in Lima, Peru: Evidence from a Field Experiment," World Development, Elsevier, vol. 58(C), pages 83-94.
    3. repec:idb:brikps:238 is not listed on IDEAS
    4. Oswaldo Molina & Diego Santa María & Gustavo Yamada, 2024. "Study for Nothing? Gender and Access to Higher Education in a Developing Country," Economic Development and Cultural Change, University of Chicago Press, vol. 72(2), pages 517-561.
    5. Ewa Cukrowska-Torzewska, 2014. "Intersectionality of ethnicity and gender: exploring Romani women’s performance in education," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 36.
    6. Ronconi, Lucas & Urquiola, Miguel, 2008. "Comments," LSE Research Online Documents on Economics 123119, London School of Economics and Political Science, LSE Library.
    7. Nopo, Hugo R. & Saavedra, Jaime & Torero, Maximo, 2004. "Ethnicity and Earnings in Urban Peru," IZA Discussion Papers 980, Institute of Labor Economics (IZA).
    8. Hugo Ñopo & Alberto Gonzales, 2008. "Brechas salariales por género y etnicidad en Guatemala desde una perspectiva de comparaciones emparejadas," Research Department Publications 4588, Inter-American Development Bank, Research Department.

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    More about this item

    Keywords

    Matching; Non-parametric; Gender Wage Gap; Latin America;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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