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Socio-Economic Development and Violence: An Empirical Application for Seven Metropolitan Areas in Colombia

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  • Alexander Cotte Poveda

Abstract

This work uses several empirical approaches to examine the effects of poverty and inequality on violence in the seven metropolitan areas in Colombia. To this end, this study describes the main determinants of violence in these cities; these determinants are all fundamental features of social instability. For this description, this paper uses several econometric approximations to compare and determine an adequate estimator for the analysis of Colombian urban violence. This hypothesis was supported by evidence showing that factors related to poverty, inequality, and education directly influenced violence in the cities. Because of their effects over time and their incidence rates across society, these factors also had negative effects on the economic and social development of every city analysed.

Suggested Citation

  • Alexander Cotte Poveda, 2011. "Socio-Economic Development and Violence: An Empirical Application for Seven Metropolitan Areas in Colombia," Serie de Documentos en Economía y Violencia 8979, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
    • Handle: RePEc:col:000137:008979
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    Cited by:

    1. Beraldo, Sergio & Caruso, Raul & Turati, Gilberto, 2013. "Life is now! Time preferences and crime: Aggregate evidence from the Italian regions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 73-81.
    2. Alexander Cotte Poveda, 2011. "Economic Development, Inequality and Poverty: An Analysis of Urban Violence in Colombia," Oxford Development Studies, Taylor & Francis Journals, vol. 39(4), pages 453-468, December.
    3. Caruso, Raul & de Wit, Hans, 2013. "Determinants of Mobility of Students in Europe: a preliminary quantitative study," MPRA Paper 49808, University Library of Munich, Germany.
    4. Meierrieks Daniel, 2012. "Rooted in Urban Poverty? Failed Modernization and Terrorism," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 18(3), pages 1-2, December.
    5. Raul Caruso & Adelaide Baronchelli, 2013. "Economic aspects of the complementarity between corruption and crime: evidence from Italy in the period 1996-2005," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 6(2/3), pages 244-260.
    6. Alexander Cotte, Poveda, 2011. "Economic development and growth in Colombia: An empirical analysis with super-efficiency DEA and panel data models," Socio-Economic Planning Sciences, Elsevier, vol. 45(4), pages 154-164, December.

    More about this item

    Keywords

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    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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