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

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Author Info

  • 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.

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Bibliographic Info

Article provided by Universidad Autonoma de Nuevo Leon, Facultad de Economia in its journal Ensayos Revista de Economia.

Volume (Year): XXX (2011)
Issue (Month): 2 (November)
Pages: 29-50
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Handle: RePEc:ere:journl:v:xxx:y:2011:i:2:p:29-50

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Related research

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

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References

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  1. Luis Armando Galvis Aponte & Adolfo Meisel R., 2010. "Persistencia de las desigualdades regionales en Colombia: Un análisis espacial," DOCUMENTOS DE TRABAJO SOBRE ECONOMÍA REGIONAL 006631, BANCO DE LA REPÚBLICA - ECONOMÍA REGIONAL.
  2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
  3. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
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  8. Easterly, William, 2000. "the middle class consensus and economic development," Policy Research Working Paper Series 2346, The World Bank.
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  12. Eiji Yamamura & Inyong Shin, 2009. "Effects of Income Inequality on Growth through Efficiency Improvement and Capital Accumulation," International Economic Journal, Korean International Economic Association, vol. 23(2), pages 237-258.
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  15. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
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  17. Paul Mosley & John Hudson & Arjan Verschoor, 2004. "Aid, Poverty Reduction and the 'New Conditionality'," Economic Journal, Royal Economic Society, vol. 114(496), pages F217-F243, 06.
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