IDEAS home Printed from https://ideas.repec.org/a/col/000090/009013.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://economia.uniandes.edu.co/revistadys/Articulo65_7.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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, September.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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 & Luis Armando Galvis-Aponte & Vicente Royuela, 2015. "Calidad de vida laboral en Colombia: un índice multidimensional difuso," Documentos de Trabajo Sobre Economía Regional y Urbana 14180, Banco de la República, Economía Regional.
    3. 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 Republica de Colombia, vol. 33(77), pages 117-132, June.
    4. 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.
    5. 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.
    6. 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.
    7. 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 279, Banco de la Republica de Colombia.
    8. 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.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    2. Joachim Wagner, 2014. "Exports, foreign direct investments and productivity: are services firms different?," The Service Industries Journal, Taylor & Francis Journals, vol. 34(1), pages 24-37, January.
    3. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2007. "Wage Structure, Inequality And Skill-Biased Change: Is Italy An Outlier?," Quaderni del Dipartimento di Economia, Finanza e Statistica 38/2007, Università di Perugia, Dipartimento Economia.
    4. Stijn Kelchtermans & Reinhilde Veugelers, 2011. "The great divide in scientific productivity: why the average scientist does not exist," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(1), pages 295-336, February.
    5. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," Working Papers 2009004, University of Antwerp, Faculty of Business and Economics.
    6. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
    7. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    8. V L Miguéis & D F Benoit & D Van den Poel, 2013. "Enhanced decision support in credit scoring using Bayesian binary quantile regression," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1374-1383, September.
    9. João Pereira & Aurora Galego, 2014. "Inter-Regional Wage Differentials in Portugal: An Analysis Across the Wage Distribution," Regional Studies, Taylor & Francis Journals, vol. 48(9), pages 1529-1546, September.
    10. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    11. Rahman, Mustafizur & Al-Hasan, Md., 2018. "Male-Female wage gap and informal employment in Bangladesh: A quantile regression approach," MPRA Paper 90131, University Library of Munich, Germany.
    12. Bassam Fattouh & Laurence Harris & Pasquale Scaramozzino, 2008. "Non-linearity in the determinants of capital structure: evidence from UK firms," Empirical Economics, Springer, vol. 34(3), pages 417-438, June.
    13. Andini, Corrado, 2009. "How Fast Do Wages Adjust to Human-Capital Productivity? Dynamic Panel-Data Evidence from Belgium, Denmark and Finland," IZA Discussion Papers 4583, Institute of Labor Economics (IZA).
    14. Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván, 2019. "Conditional quantile processes based on series or many regressors," Journal of Econometrics, Elsevier, vol. 213(1), pages 4-29.
    15. Azam, Mehtabul, 2012. "Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition," World Development, Elsevier, vol. 40(6), pages 1135-1150.
    16. Michelle L. Barnes & Anthony W. Hughes, 2002. "A quantile regression analysis of the cross section of stock market returns," Working Papers 02-2, Federal Reserve Bank of Boston.
    17. Jean-Pierre Lachaud, 2010. "Dynamique des profits des micro-entreprises urbaines et genre à Madagascar. Une approche de régressions quantiles," Documents de travail 151, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
    18. Schmidt, Christoph M. & Tauchmann, Harald, 2011. "Heterogeneity in the intergenerational transmission of alcohol consumption: A quantile regression approach," Journal of Health Economics, Elsevier, vol. 30(1), pages 33-42, January.
    19. Achim Schmillen & Joachim Möller, 2009. "Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions," Working Papers 275, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    20. Qingjie Xia & Lina Song & Shi Li & Simon Appleton, 2014. "The effect of the state sector on wage inequality in urban China: 1988--2007," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(1), pages 29-45, February.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000090:009013. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Universidad De Los Andes-Cede (email available below). General contact details of provider: https://edirc.repec.org/data/ceandco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.