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Las tendencias de la pobreza y la desigualdad: una evidencia para los departamentos de Colombia

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  • Alexander Cotte Poveda

    () (Departamento de Economía, Universidad de Göttingen, Alemania. Facultad de Ciencias Administrativas y Contables, Universidad de La Salle, Bogotá, Colombia.)

  • Clara Inés Pardo Martínez

    () (Departamento de Tecnología Energética, Estudios de Energía y Clima, Instituto Real de Tecnología, KTH, Estocolmo, Suecia. Facultad de Ingeniería, Universidad de La Salle, Bogotá, Colombia.)

Abstract

This study estimates poverty and inequality trends using Data Envelopment Analysis (DEA) and panel data in Colombia during the sample period between 1993 and 2007. In this analysis, we suggest a DEA model to measure and rank poverty, inequality and development trends. The results from the DEA model show variation in the scores across Colombian departments during the sample period. A second-stage panel data analysis with fixed effects reveals that departments with higher population density, unemployment, homicide rates and property concentration have a lower efficiency score, whereas departments with higher health and education coverage and public investments have better results according to DEA and panel data estimations. Findings of this analysis demonstrate that the decrease in poverty and inequality could be achieved through adequate strategies that guarantee development and economic growth with policies concentrated to improve social welfare.

Suggested Citation

  • Alexander Cotte Poveda & Clara Inés Pardo Martínez, 2011. "Las tendencias de la pobreza y la desigualdad: una evidencia para los departamentos de Colombia," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 29-50, November.
  • Handle: RePEc:ere:journl:v:xxx:y:2011:i:2:p:29-50
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    References listed on IDEAS

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    More about this item

    Keywords

    poverty; inequality; efficiency; data envelopment analysis; panel data; Colombia;

    JEL classification:

    • O49 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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