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Calidad del empleo y segmentación laboral: un análisis para el mercado laboral colombiano 2001-2006

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  • Christian Manuel Posso

Abstract

Este documento aborda el fenómeno de la calidad del empleo desde dos perspectivas: a) la teoría de los mercados de trabajo segmentados y b) las mediciones empíricas propuestas por la Organización Internacional del Trabajo (oit), junto con las de autores nacionales e internacionales. Para contrastar la hipótesis de mercados segmentados se utilizan dos métodos de estimación: el modelo switching regression y el modelo quantile regression. Los resultados muestran evidencia a favor de las principales proposiciones de la teoría de mercados de trabajo segmentados; en especial, se observa cómo las valoraciones de las características de los individuos cambian significativamente a través de la distribución de ingresos, particularmente la educación universitaria.El enfoque empírico de la calidad del empleo incluye un cálculo del índice de calidad del empleo (ice) para Colombia y un modelo de regresión con variable dependiente binaria que permite identificar los factores asociados a un empleo de calidad. Los resultados sugieren que la calidad del empleo tiene una estrecha relación con la educación universitaria, el tamano de la firma, los empleos en el sector financiero y la localización en Medellín y Bogotá.

Suggested Citation

  • Christian Manuel Posso, 2010. "Calidad del empleo y segmentación laboral: un análisis para el mercado laboral colombiano 2001-2006," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, February.
  • Handle: RePEc:col:000090:009013
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    References listed on IDEAS

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    1. Thomas Lemieux, 2006. "Postsecondary Education and Increasing Wage Inequality," American Economic Review, American Economic Association, vol. 96(2), pages 195-199, May.
    2. Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.
    3. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    4. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    5. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    6. Ariane Pailhé, 2003. "Labour Market Segmentation in Central Europe during the First Years of Transition," LABOUR, CEIS, vol. 17(1), pages 127-152, March.
    7. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    8. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    9. repec:bla:jecsur:v:12:y:1998:i:1:p:63-101 is not listed on IDEAS
    10. 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.
    11. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, October.
    12. Rebitzer, James B & Robinson, Michael D, 1991. "Employer Size and Dual Labor Markets," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 710-715, November.
    13. John Baffoe-Bonnie, 2003. "Distributional assumptions and a test of the dual labor market hypothesis," Empirical Economics, Springer, vol. 28(3), pages 461-478, July.
    14. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
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    Cited by:

    1. Christian Manuel Posso, 2010. "Desigualdad salarial en Colombia 1984-2005: cambios en la composición del mercado laboral y retornos a la educación post-secundaria," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, December.
    2. Mónica Sofía Gómez-Salcedo & Luis Armando Galvis-Aponte & Vicente Royuela, 2017. "Quality of Work Life in Colombia: A Multidimensional Fuzzy Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 911-936, February.
    3. Pablo González & Kirsten Sehnbruch & Mauricio Apablaza & Rocío Méndez Pineda & Veronica Arriagada, 2021. "A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 107-141, November.
    4. Lina María Restrepo Plaza & Paula Andrea Rivas Oyuela, 2013. "La calidad del empleo para los hombres y las mujeres: un estudio desde la informalidad, el subempleo y las percepciones," Revista Equidad y Desarrollo, Universidad de la Salle, March.
    5. Luis Armando Galvis-Aponte & Gabriel Orlando Rodríguez-Puello & Sara Ovallos-Bencardino, 2019. "Desempleo y calidad de vida laboral en las áreas metropolitanas de Barranquilla, Cartagena y Santa Marta," Documentos de Trabajo Sobre Economía Regional y Urbana 17230, Banco de la República, Economía Regional.
    6. Francisco Javier Lasso V. & Cristian Camilo Frasser L., 2015. "Calidad del empleo y bienestar: un análisis con escalas de equivalencia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 33(77), pages 117-132, June.
    7. Luis Armando Galvis-Aponte & Gerson Javier Pérez-Valbuena, 2015. "Informalidad laboral y calidad del empleo en la Región Pacífica colombiana," Documentos de trabajo sobre Economía Regional y Urbana 233, Banco de la Republica de Colombia.
    8. Daniel Mónica Sofía Gómez & Javier Luis Armando Galvis-Aponte & Vicente Royuela, 2015. "“Calidad de vida laboral en Colombia: un índice multidimensional difuso”," IREA Working Papers 201528, University of Barcelona, Research Institute of Applied Economics, revised Dec 2015.
    9. Veronica Lango-Reynoso & Jonathan López-Spiegel & Fabiola Lango-Reynoso & María Del Refugio Castañeda-Chávez & Jesús Montoya-Mendoza, 2018. "Estimation of CO 2 Emissions Produced by Commercial Grills in Veracruz, Mexico," Sustainability, MDPI, vol. 10(2), pages 1-14, February.

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    More about this item

    Keywords

    segmentación laboral; calidad del empleo; switchingmodel; regresión por percentiles.;
    All these keywords.

    JEL classification:

    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

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