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Subempleo por ingresos y funcionamiento del mercado de trabajo en Colombia

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  • Luis Eduardo Arango THomas

    ()

  • Diana Carolina Escobar

    ()

  • Emma Mercedes Sandoval

    ()

Abstract

Se estiman los salarios de empleados particulares y servidores públicos 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 ecuación de Mincer como la descomposición Blinder-Oaxaca y la metodología propuesta por Ñopo (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 podrían 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 distribución de los salarios: a más edad y mayor educación, mayor es el componente no explicado de la misma, la cual se presenta con mayor claridad en los sectores de minas, transporte y construcción."

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Bibliographic Info

Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 010717.

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Length: 33
Date of creation: 15 Apr 2013
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Handle: RePEc:col:000094:010717

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Keywords: subempleo por ingresos; funcionamiento del mercado laboral; descomposición de la brecha salarial;

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References

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  1. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66, pages 281.
  2. Gerrit Mueller & Erik Plug, 2006. "Estimating the effect of personality on male and female earnings," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 60(1), pages 3-22, October.
  3. Rafael Puyana & Mario Andrés Ramos & Héctor Zárate, 2011. "Determinantes del subempleo en Colombia: Un enfoque a través de la compensación salarial," BORRADORES DE ECONOMIA 008337, BANCO DE LA REPÚBLICA.
  4. Wichert, Laura & Pohlmeier, Winfried, 2010. "Female labor force participation and the big five," ZEW Discussion Papers 10-003, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  5. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, July.
  6. Guataqui, Juan Carlos & García Suaza, Andrés Felipe & Rodríguez, Mauricio, 2009. "Estimaciones de los determinantes de los ingresos laborales en Colombia con consideraciones diferenciales para asalariados y cuenta propia," DOCUMENTOS DE TRABAJO 005756, UNIVERSIDAD DEL ROSARIO.
  7. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  8. José Ignacio Uribe & Carlos Humberto Ortiz & Gustavo Adolfo García, 2008. "Informalidad Y Subempleo En Colombia:," DOCUMENTOS DE TRABAJO-CIDSE 004609, UNIVERSIDAD DEL VALLE - CIDSE.
  9. Gary S. Becker, 1975. "Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, 2nd ed," NBER Books, National Bureau of Economic Research, Inc, number beck75-1, July.
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