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

Author

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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

    as
    1. Augustin Kwasi Fosu, 2010. "Inequality, Income, and Poverty: Comparative Global Evidence," Social Science Quarterly, Southwestern Social Science Association, vol. 91(5), pages 1432-1446, December.
    2. Galvis-Aponte, Luis Armando & Meisel-Roca, Adolfo, 2011. "Persistencia de las desigualdades regionales en Colombia : un análisis espacial," Chapters, in: Bonilla-Mejía, Leonardo (ed.), Dimensión regional de las desigualdades en Colombia, chapter 1, pages 3-32, Banco de la Republica de Colombia.
    3. 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.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    5. Eiji Yamamura & Inyong Shin, 2009. "Effects of Income Inequality on Growth through Efficiency Improvement and Capital Accumulation," International Economic Journal, Taylor & Francis Journals, vol. 23(2), pages 237-258.
    6. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    7. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    8. Adams, Richard H. Jr., 2003. "Economic growth, inequality, and poverty : findings from a new data set," Policy Research Working Paper Series 2972, The World Bank.
    9. Paul Mosley & John Hudson & Arjan Verschoor, 2004. "Aid, Poverty Reduction and the 'New Conditionality'," Economic Journal, Royal Economic Society, vol. 114(496), pages 217-243, June.
    10. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Easterly, William, 2001. "The Middle Class Consensus and Economic Development," Journal of Economic Growth, Springer, vol. 6(4), pages 317-335, December.
    13. Fajnzylber, Pablo & Lederman, Daniel & Loayza, Norman, 2002. "Inequality and Violent Crime," Journal of Law and Economics, University of Chicago Press, vol. 45(1), pages 1-40, April.
    14. Christopher F Baum, 2001. "Residual diagnostics for cross-section time series regression models," Stata Journal, StataCorp LP, vol. 1(1), pages 101-104, November.
    15. Sen, Amartya, 1983. "Poor, Relatively Speaking," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 153-169, July.
    16. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    17. Miki Malul & Yossi Hadad & Avner Ben‐Yair, 2009. "Measuring and ranking of economic, environmental and social efficiency of countries," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(8), pages 832-843, July.
    18. 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.
    19. 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.
    20. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    21. Francois Bourguignon, 2004. "The Poverty-growth-inequality triangle," Indian Council for Research on International Economic Relations, New Delhi Working Papers 125, Indian Council for Research on International Economic Relations, New Delhi, India.
    22. Son, Hyun H. & Kakwani, Nanak, 2008. "Global Estimates of Pro-Poor Growth," World Development, Elsevier, vol. 36(6), pages 1048-1066, June.
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    More about this item

    Keywords

    poverty; inequality; efficiency; data envelopment analysis; panel data; Colombia;
    All these keywords.

    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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