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Habilidades no cognitivas y brecha de género salarial en el Perú

Author

Listed:
  • Gustavo, Yamada

    (Centro de Investigación de la Universidad del Pacífico (CIUP), Lima)

  • Pablo, Lavado

    (Centro de Investigación de la Universidad del Pacífico (CIUP), Lima)

  • Luciano, Velarde

    (Universidad del Pacífico, Lima)

Abstract

Recently there has been growing interest in the relationship between cognitive and non cognitive abilities and labor market outcomes. A large literature provides evidence on the positive connection between gaps in abilities and gaps in wages between men and women. However, attention is focused on developed countries. The main objective of this paper is to identify latent abilities and explore their role in the gender wage gap in Peru. The main identification strategy relies on exploiting panel data information on test scores and arguing that time dependence across measures is due to latent abilities. Results show a significant gender wage gap in Peru and that even though when accounting for measured abilities differences in non cognitive abilities seem irrelevant, when accounting for differences in actual latent ability non cognitive abilities account for important inter-gender differences in the endowment and returns of abilities. Moreover, inter-gender differences in latent abilities play an important role not only in wage profiles, but in schooling, employment and occupation decisions.

Suggested Citation

  • Gustavo, Yamada & Pablo, Lavado & Luciano, Velarde, 2014. "Habilidades no cognitivas y brecha de género salarial en el Perú," Estudios Públicos, Centro de Estudios Públicos, vol. 0(135), pages 89-129.
  • Handle: RePEc:cpt:journl:v::y:2014:i:135:p:89-129
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    Cited by:

    1. Raymundo M. Campos-Vázquez & Julio César Martínez Sánchez, 2024. "Habilidades buscadas por las empresas en el mercado laboral mexicano: un análisis de las ofertas laborales publicadas en internet/Skills sought by companies in the Mexican labor market: An analysis o," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 39(2), pages 243–278-2.
    2. 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.
    3. 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

    Keywords

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    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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