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Elección de ocupaciones que generen empleo usando modelos de elección discreta: Medellín à rea Metropolitana 2009

Author

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  • Sebastián Aparicio

    ()

  • Andrés Ramírez Hassan
  • Diego Fernando Gómez Sánchez

Abstract

El objetivo de este artículo es identificar determinantes que llevan a los individuos a la toma de la decisión de ser empresarios en Medellín à rea Metropolitana en 2009. Mediante modelos logit y probit multinomial, y logit binario secuencial, se estima la probabilidad de que una persona tome la decisión ocupacional de ser empresario, independiente formal, empleado o independiente informal, siendo el primer estado aquel que genera mayor efecto en el desarrollo de la región. Los resultados permiten observar que la educación, el uso de tecnologías de información y telecomunicaciones, y el capital financiero son las variables que más con- tribuyen en la probabilidad de ser empresario. Estos resultados sugieren nuevos elementos a la discusión de política pública relacionada con el emprendimiento y fortalecimiento empresarial.

Suggested Citation

  • Sebastián Aparicio & Andrés Ramírez Hassan & Diego Fernando Gómez Sánchez, 2013. "Elección de ocupaciones que generen empleo usando modelos de elección discreta: Medellín à rea Metropolitana 2009," Estudios Gerenciales, Universidad Icesi, December.
    • Handle: RePEc:col:000129:011439
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    References listed on IDEAS

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    Cited by:

    1. Sebastian Aparicio & David Urbano & Diego Gomez, 2018. "Entrepreneurship and regional economic growth in Antioquia: An empirical analysis," Economics and Business Letters, Oviedo University Press, vol. 7(2), pages 84-92.

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    More about this item

    Keywords

    Decisión ocupacional EmprendimientoModelos de elección discreta;

    JEL classification:

    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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