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Analysis of Labor Informality in Villavicencio, Colombia (2015-2018)

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  • Otto Smith Pardo Carrillo
  • Mar�a del Pilar S�nchez Mu�oz

Abstract

In this article the socioeconomic profile of the employed population in the informal sector of the municipality of Villavicencio (Colombia) is determined, and for this, the data obtained from the Great Integrated Household Survey GEIH (2015-2018) are used and a probit model is applied. It is concluded that being a woman, having a low level of education, earning low income, being single, working more hours per week, not having a work contract, not having a retiree plan, belonging to the subsidized health regime, increase the probability of being in the informal labor market.

Suggested Citation

  • Otto Smith Pardo Carrillo & Mar�a del Pilar S�nchez Mu�oz, 2020. "Analysis of Labor Informality in Villavicencio, Colombia (2015-2018)," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 39(69), pages 219-240.
    • Handle: RePEc:col:000152:019988
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    References listed on IDEAS

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    1. Jorge Raúl Ramírez Zambrano & Mario de Jes�s Zambrano Miranda & Johanna Milena Mogrovejo & Jorge Luis Carre�o Monta�o, 2016. "Informalidad laboral en los departamentos de Norte de Santander, Narino, La Guajira y Cesar," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 35(62), pages 125-145.
    2. -, 2015. "Revista CEPAL no. 117," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    3. Groisman, Fernando & Beccaría, Luis Alberto, 2015. "Informalidad y segmentación del mercado laboral: el caso de la Argentina," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    4. Bernal Raquel, 2009. "The Informal Labor Market in Colombia: identification and characterization," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE.
    5. Edgar Marcillo Yépez & Juan Carlos Zambrano, 2011. "Determinantes de la informalidad laboral en el área metropolitana de pasto," Revista Tendencias, Universidad de Narino, vol. 12(1), pages 119-143.
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    Keywords

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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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