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Participación laboral en Ibagué

Author

Listed:
  • David Aldana

    ()

  • Luis Eduardo Arabgo

    ()

Abstract

La alta tasa de participación laboral en Ibagué ha tenido comoconsecuencia que la tasa de desempleo en dicha ciudad haya sido la mayor enlos últimos a~nos en relación con las principales áreas del país. Este trabajopresenta evidencia sobre los determinantes de la participación laboral de Ibagué para el período 2001-2005 y los compara con los determinantes de treceáreas metropolitanas. Con base en la Encuesta Continua de Hogares se estimantres modelos probit de participación: uno para el total de trece áreas,otro para Ibagué y uno conjunto en el que se diferencia a Ibagué del promedionacional. En general, los signos de los coeficientes son los esperados. El hechofundamental es la alta participación de las personas que integran los grupos de12 a 17 a~nos. La participación del grupo de edad de 18 a 23 a~nos es tambiénimportante. La baja remuneración en el mercado laboral y la ca´ıda en el empleoformal (de personas no beneficiarias del subsidio monetario entregado por lascajas de compensación familiar) son las dos hipótesis básicas para explicar elfenómeno de la alta participación en Ibagué. Sin embargo, queda por responderla pregunta del porqué no emigran a otras ciudades.********************The high rate of participation in Ibagu´e has brought forth thehighest unemployment rate among the main cities in Colombia during the lastyears. This paper reports some evidence about the determinants of the laborparticipation in Ibagu´e for the period 2001-2005 and then compare it withthe determinants of participation in thirteen cities. Based on the informationof the Continued Housing Survey three probit models are estimated: one forthe thirteen cities, one for Ibagu´e and another for all of them. In general,the signs of the coefficients are the expected ones. A major influence is theparticipation of people between 12 and 17 as well as between 18 and 23. Amongthe explanations are the low labor income in Ibagu´e and the drop in the formalemployment (covered by Household Subsidy System) with a consequence inmonetary subsidy paid by firms to the families which is part of the non-incomelabor of secondary workers. However, it remains the question, given such a highunemployment rate, why people do not leave Ibagu´e?

Suggested Citation

  • David Aldana & Luis Eduardo Arabgo, 2008. "Participación laboral en Ibagué," Revista de Economía del Rosario, Universidad del Rosario, June.
  • Handle: RePEc:col:000151:005096
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    File URL: http://revistas.urosario.edu.co/index.php/economia/article/view/1122/1016
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    Cited by:

    1. Arango-Thomas, Luis Eduardo & Montenegro, Paola & Obando, Nataly, 2012. "El desempleo en Pereira : ¿Solo cuestión de remesas?," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 17, pages 711-749, Banco de la Republica de Colombia.
    2. Jhon James Mora & Juan Muro, 2007. "Diploma earning differences by gender in Colombia," Alcamentos 0802, Universidad de Alcalá, Departamento de Economía., revised 2008.
    3. Mora, J.J., 2013. "Gender differences between remittances and labor participation in developing countries: A cross-section analysis of Colombia in year 2008," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(1), pages 99-112.
    4. Dewin Perez Fuentes & Nallydis Hernandez Miranda & Grace Angulo Pico, 2014. "Participacion femenina en el mercado laboral de Cartagena, 2008-2013," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 8(1), pages 5-29, July.

    More about this item

    Keywords

    oferta laboral; tasa de participación; modelos pooled - probit; Ibagué;

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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