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Habilidades No Cognitivas y Brecha de Género Salarial en el Perú


  • Yamada, Gustavo

    (Universidad del Pacífico)

  • Lavado, Pablo

    (Universidad del Pacífico)

  • Velarde, Luciana

    (Universidad del Pacífico)


En los últimos años, la literatura ha analizado la relación entre las habilidades cognitivas y no cognitivas y los resultados del mercado laboral. Más aún, se ha estudiado la correlación entre diferencias en estas habilidades y diferencias en salarios entre hombres y mujeres. No obstante, la mayoría de los estudios en torno al tema se ha enfocado en países desarrollados. El principal objetivo de este estudio es analizar el rol de las habilidades cognitivas y no cognitivas en la brecha salarial de género en el Perú. Para ello, proponemos utilizar información longitudinal de medidas de habilidad para estimar componentes inobservables (latentes) de ambas habilidades y analizar el rol de dichos componentes en el salario. Los resultados indican que existe una brecha salarial de género significativa en el Perú y que la misma puede ser explicada por diferencias en el retorno de habilidades cognitivas latentes y por diferencias en la dotación de habilidades no cognitivas latentes. Luego de estimar un modelo conjunto de educación, empleo, ocupación y salarios, se observa que aún cuando las habilidades latentes explican la brecha de salarios, las mismas son más importantes para explicar la diferencia en la decisión de ocupación tomada entre hombres y mujeres.

Suggested Citation

  • Yamada, Gustavo & Lavado, Pablo & Velarde, Luciana, 2013. "Habilidades No Cognitivas y Brecha de Género Salarial en el Perú," Working Papers 2013-014, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2013-014

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    References listed on IDEAS

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    Cited by:

    1. Juan Manuel del Pozo Segura, 2017. " Has the Gender Wage Gap been Reduced during the 'Peruvian Growth Miracle?' A Distributional Approach," Documentos de Trabajo / Working Papers 2017-442, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Nikita Céspedes & Pablo Lavado & Nelson Ramírez (ed.), 2016. "Productividad en el Perú: medición, determinantes e implicancias," Books, Departamento de Economía, Universidad del Pacífico, edition 1, number 07-14.

    More about this item


    habilidades no cognitivas; habilidades latentes; brecha salarial de género;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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