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Labor market transitions and social security in Colombia

Author

Listed:
  • Jose Cuesta

    (The World Bank and Georgetown University, USA)

  • Camilo Bohorquez

    (University of Minnesota, USA)

Abstract

This paper quantifies the magnitude of transitions across occupational categories in Colombia, a country with high unemployment and informality but quickly increasing its social security coverage in healthcare. The analysis makes use of a panel of households between 2008 and 2009 and representative of the main metropolitan areas in the country. Results confirm that transitions are large and asymmetric (twice as likely to happen from formal to informal occupations as vice versa). These results, however, conceal an additional asymmetry typically overlooked: salaried formal workers are more likely to transition first into salaried informal occupations than self-employment and unemployment; instead, informal self-employed are more likely to transition into unemployment or out of the labor force than formal occupations. Furthermore, better education (better chances) and lower earnings (more need) increase the probability of labor transitions. Those already affiliated to health insurance are less likely to transition but affiliation to old-age pension insurance does not affect transitioning decisions. Females transition more than males. In the presence of these high-volume asymmetric transitions (and other factors such as workersÕ preferences and risk perceptions) the expansion of non-contributive social security schemes may seriously de-incentivize formality.

Suggested Citation

  • Jose Cuesta & Camilo Bohorquez, 2014. "Labor market transitions and social security in Colombia," Journal of Developing Areas, Tennessee State University, College of Business, vol. 48(3), pages 149-174, July-Sept.
  • Handle: RePEc:jda:journl:vol.48:year:2014:issue3:pp:149-174
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    References listed on IDEAS

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    1. Pagés, Carmen & Stampini, Marco, 2009. "No education, no good jobs? Evidence on the relationship between education and labor market segmentation," Journal of Comparative Economics, Elsevier, vol. 37(3), pages 387-401, September.
    2. Alejandro Gaviria, 2004. "Ley 789 De 2002: ¬Øfuncion√Ì O No?," Documentos CEDE 3140, Universidad de los Andes, Facultad de Economía, CEDE.
    3. Jose Cuesta & Hugo Ñopo & Georgina Pizzolitto, 2011. "Using Pseudo‐Panels To Measure Income Mobility In Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 224-246, June.
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    Cited by:

    1. Cilasun, Seyit Mumin & Acar, Elif Oznur & Gunalp, Burak, 2015. "The Effects of Labor Market Reforms on the Labor Market Dynamics in Turkey," MPRA Paper 64767, University Library of Munich, Germany.
    2. Mathilde Bouvier & François Roubaud & Mireille Razafindrakoto & Roberta Teixeira, 2022. "Labour market transitions in the time of Covid-19 in Brazil:a panel data analysis," Working Papers DT/2022/02, DIAL (Développement, Institutions et Mondialisation).
    3. Hamadi Matoussi & Faten Zoghlami, 2007. "Momentum in Emerging Markets: Investigation of Overconfidence and Cognitive BIAS Factors," Working Papers 717, Economic Research Forum, revised 04 Jan 2007.

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    More about this item

    Keywords

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    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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