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La Oferta Laboral en Perú

Author

Listed:
  • Reyna, Debora

    (PUCP)

  • Céspedes, Nikita

    (Banco Central de Reserva del Perú)

Abstract

En este documento se estima la elasticidad de la oferta laboral intensiva para Perú en el periodo 2004-2012. En este periodo las horas trabajadas han seguido una tendencia decreciente, mientras que el salario por hora ha mostrado una tendencia creciente, consistente con el periodo de crecimiento económico y de la productividad. Se encuentra que la elasticidad de la oferta laboral es aproximadamente 0,257, y es heterogénea según la edad, el nivel de ingresos y nivel educativo de los trabajadores. Este parámetro es, además, decreciente en el periodo de análisis, evidencia que sugiere que los cambios en la elasticidad de oferta laboral pueden ayudar a explicar la dinámica de los salarios en un contexto de crecimiento de la productividad que caracteriza el periodo de estudio.

Suggested Citation

  • Reyna, Debora & Céspedes, Nikita, 2016. "La Oferta Laboral en Perú," Working Papers 2016-017, Banco Central de Reserva del Perú.
    • Handle: RePEc:rbp:wpaper:2016-017
    as

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    References listed on IDEAS

    as
    1. Nikita Céspedes & María E. Aquije & Alan Sánchez & Rafael Vera Tudela, 2016. "Productividad sectorial en el Perú: un análisis a nivel de firmas," Chapters of Books, in: Nikita Céspedes & Pablo Lavado & Nelson Ramírez Rondán (ed.), Productividad en el Perú: medición, determinantes e implicancias, edition 1, volume 1, chapter 3, pages 70-92, Fondo Editorial, Universidad del Pacífico.
    2. Aguilar, Giovanna & Rendon, Si­lvio, 2008. "Matching bias in labor demand estimation," Economics Letters, Elsevier, vol. 100(2), pages 297-299, August.
    3. Gustavo Yamada, 2005. "Horas de trabajo: determinantes y dinámica en el Perú urbano," Diagnóstico y propuesta, Consorcio de Investigación Económica y Social.
    4. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695, Elsevier.
    5. Nikita Céspedes & Nelson Ramirez-Rondán, 2014. "Total Factor Productivity Estimation in Peru: Primal and Dual Approaches," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 37(73), pages 9-39.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. MaCurdy, Thomas E, 1981. "An Empirical Model of Labor Supply in a Life-Cycle Setting," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1059-1085, December.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    9. Céspedes, Nikita & Rendón, Silvio, 2012. "La elasticidad de oferta laboral de Frisch en economías con alta movilidad laboral," Working Papers 2012-017, Banco Central de Reserva del Perú.
    10. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    11. Céspedes, Nikita, 2011. "Tendencia de las horas de trabajo en el mercado laboral peruano," Revista Moneda, Banco Central de Reserva del Perú, issue 149, pages 13-17.
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    More about this item

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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