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Subempleo por ingresos y funcionamiento del mercado de trabajo en Colombia

Author

Listed:
  • Luis Eduardo Arango THomas
  • Diana Carolina Escobar
  • Emma Mercedes Sandoval

Abstract

Se estiman los salarios de empleados particulares y servidores p�blicos catalogados como plenamente ocupados y subempleados por ingresos. De igual manera, se estima la brecha salarial entre ellos, para lo cual se utilizan tanto la ecuaci�n de Mincer como la descomposici�n Blinder-Oaxaca y la metodolog�a propuesta por �opo (2008). Los resultados indican que, aunque existe un diferencial de salarios entre ambos grupos, del orden de 40% a 44%, el componente no explicado del mismo es mucho menor (de 25% a 30% del mismo) que el que sugieren los datos a primera vista y conducen, en ocasiones, a generar alarmas sobre el funcionamiento del mercado de trabajo e incluso a hablar de condiciones de empleo inadecuado" o "empleo de baja calidad". Aunque algunos subempleados por ingresos podr�an tener argumentos para considerarse como tales, presentamos evidencia que muestra que entre el 70% y el 75% del diferencial de salarios es explicado por variables asociadas a capital humano. Igualmente, encontramos que la brecha se presenta con mayor nitidez en la parte alta de la distribuci�n de los salarios: a m�s edad y mayor educaci�n, mayor es el componente no explicado de la misma, la cual se presenta con mayor claridad en los sectores de minas, transporte y construcci�n."

Suggested Citation

  • Luis Eduardo Arango THomas & Diana Carolina Escobar & Emma Mercedes Sandoval, 2013. "Subempleo por ingresos y funcionamiento del mercado de trabajo en Colombia," Borradores de Economia 10717, Banco de la Republica.
    • Handle: RePEc:col:000094:010717
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    References listed on IDEAS

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    1. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, September.
    2. Wichert, Laura & Pohlmeier, Winfried, 2010. "Female labor force participation and the big five," ZEW Discussion Papers 10-003, ZEW - Leibniz Centre for European Economic Research.
    3. James Heckman, 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.
    4. José Ignacio Uribe & Carlos Humberto Ortiz & Gustavo Adolfo Garc�a, 2008. "Informalidad y subempleo en Colombia: dos caras de la misma moneda," Documentos de Trabajo 4609, Universidad del Valle, CIDSE.
    5. Rafael Puyana & Mario Andr�s Ramos & H�ctor Z�rate, 2011. "Determinantes del subempleo en Colombia: Un enfoque a trav�s de la compensaci�n salarial," Borradores de Economia 8337, Banco de la Republica.
    6. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    7. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    8. Rafael Puyana & Mario Andrés Ramos & Héctor Zarate, 2011. "Determinantes del subempleo en Colombia: Un enfoque a través de la compensación salarial," Borradores de Economia 652, Banco de la Republica de Colombia.
    9. Harry Sackey & Barfour Osei, 2006. "Human Resource Underutilization in an Era of Poverty Reduction: An Analysis of Unemployment and Underemployment in Ghana," African Development Review, African Development Bank, vol. 18(2), pages 221-247.
    10. Juan Carlos Guataqui & Andrés Felipe García Suaza & Mauricio Rodríguez, 2009. "Estimaciones de los determinantes de los ingresos laborales en Colombia con consideraciones diferenciales para asalariados y cuenta propia," Documentos de Trabajo 5756, Universidad del Rosario.
    11. Gary S. Becker, 1975. "Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, Second Edition," NBER Books, National Bureau of Economic Research, Inc, number beck75-1, September.
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    Cited by:

    1. Luis Eduardo Arango & Ana María Ríos, 2015. "Duración del desempleo en Colombia: género, intensidad de búsqueda y anuncios de vacantes," BORRADORES DE ECONOMIA 012528, BANCO DE LA REPÚBLICA.
    2. Héctor Alberto Botello Penaloza, 2015. "Determinantes de la discriminación racial en el mercado laboral en Ecuador, 2010-2012," Revista Equidad y Desarrollo, Universidad de la Salle, issue 24, pages 8-30.
    3. Astorquiza Bustos, Bilver Adrián & Castillo Caicedo, Maribel & Gómez Mejía, Alina, 2018. "Measuring the Job Stress of the Employed Population. The Case of Labor Market in Cali-Colombia || Midiendo el estrés laboral de la población empleada. El caso del mercado laboral en Cali-Colombia," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 25(1), pages 272-294, Junio.

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    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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