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Determinants of labor demand in the Colombian manufacturing sector, 2000-2010

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  • Jesús Rodríguez

Abstract

This paper studies the determinants of labor demand for professional, administrative and blue-collar workers in the Colombian manufacturing sector. The results show that the demand for blue-collar employees exhibits the largest adjustment time and is the most sensitive to changes in total labor costs. These results suggest that policies aimed at reducing nonwage costs may be effective to raise the demand for low skilled workers. Finally, the short-run (long-run) demand for professional (administrative) workers is found to be the most sensitive to changes in production.

Suggested Citation

  • Jesús Rodríguez, 2013. "Determinants of labor demand in the Colombian manufacturing sector, 2000-2010," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 79, pages 45-72.
  • Handle: RePEc:lde:journl:y:2013:i:79:p:45-72
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    File URL: http://aprendeenlinea.udea.edu.co/revistas/index.php/lecturasdeeconomia/article/view/17912/15390
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    1. Lee, Jong-Wha & Barro, Robert J, 2001. "Schooling Quality in a Cross-Section of Countries," Economica, London School of Economics and Political Science, vol. 68(272), pages 465-488, November.
    2. Samer Al-Samarrai, 2006. "Achieving education for all: how much does money matter?," Journal of International Development, John Wiley & Sons, Ltd., vol. 18(2), pages 179-206.
    3. Bruce Sacerdote, 2002. "The Nature and Nurture of Economic Outcomes," American Economic Review, American Economic Association, vol. 92(2), pages 344-348, May.
    4. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    5. Sula, Ozan, 2008. "Demand for International Reserves: A Quantile Regression Approach," MPRA Paper 11680, University Library of Munich, Germany.
    6. Bishop, John Hillman, 1989. "Is the Test Score Decline Responsible for the Productivity Growth Decline?," American Economic Review, American Economic Association, vol. 79(1), pages 178-197, March.
    7. Boissiere, M & Knight, J B & Sabot, R H, 1985. "Earnings, Schooling, Ability, and Cognitive Skills," American Economic Review, American Economic Association, vol. 75(5), pages 1016-1030, December.
    8. Eric A. Hanushek, 1998. "Conclusions and controversies about the effectiveness of school resources," Economic Policy Review, Federal Reserve Bank of New York, issue Mar, pages 11-27.
    9. Ludger Woesmann, 2003. "Schooling Resources, Educational Institutions and Student Performance: the International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, pages 117-170.
    10. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    11. Edward P. Lazear, 2001. "Educational Production," The Quarterly Journal of Economics, Oxford University Press, vol. 116(3), pages 777-803.
    12. Bishop, John, 1992. "The impact of academic competencies on wages, unemployment, and job performance," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 37(1), pages 127-194, December.
    13. Barrera-Osorio, Felipe & Linden, Leigh L., 2009. "The use and misuse of computers in education : evidence from a randomized experiment in Colombia," Policy Research Working Paper Series 4836, The World Bank.
    14. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    15. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2007. "Inference approaches for instrumental variable quantile regression," Economics Letters, Elsevier, vol. 95(2), pages 272-277, May.
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    More about this item

    Keywords

    labor demand; average adjustment time; labor-output elasticity; factor substitution elasticity;

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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