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Desempleo y criminalidad en los estados de la frontera norte de México: un enfoque espacial bayesiano de vectores auto-regresivos. (Unemployment and crime in the Northern-border states of Mexico: a spatial-Bayesian autoregressive vector approach)

Author

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  • Víctor Hugo Torres Preciado

    (Universidad de Colima, Villa de Álvarez, Colima. México.)

Abstract

Ante los recientes episodios de intensificación en la actividad delictiva en México, llama la atención la escasez de estudios que analizan su relación con las fluctuaciones en la tasa de desempleo. El objetivo de esta investigación consiste en evaluar el impacto que tendría un desajuste que incremente sorpresivamente la tasa de desempleo en los estados de la frontera norte, sobre la actividad criminal, en particular respecto del número de robos. Con este fin, se aplica un VAR bayesiano espacial de acuerdo con la propuesta de LeSage y Cashell (2015). Los resultados sugieren que la respuesta del número de robos es heterogénea en los estados de la frontera norte de México. Por ejemplo: en algunos estados como Chihuahua, el número de robos parece responder de forma transitoria; en tanto que en Tamaulipas, este tipo de delito reacciona en menor medida a las fluctuaciones en su tasa de desempleo y la de sus estados vecinos.

Suggested Citation

  • Víctor Hugo Torres Preciado, 2017. "Desempleo y criminalidad en los estados de la frontera norte de México: un enfoque espacial bayesiano de vectores auto-regresivos. (Unemployment and crime in the Northern-border states of Mexico: a sp," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 25-58, May.
  • Handle: RePEc:ere:journl:v:xxxvi:y:2017:i:1:p:25-58
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    References listed on IDEAS

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    1. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    2. Eleftherios Goulas & Athina Zervoyianni, 2013. "Economic growth and crime: does uncertainty matter?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(5), pages 420-427, March.
    3. C. Detotto & E. Otranto, 2010. "Cycles in Crime and Economy: Leading, Lagging and Coincident Behaviors," Working Paper CRENoS 201023, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Vittorio, Daniele & Ugo, Marani, 2008. "Organized Crime and Foreign Direct Investment: the Italian Case," MPRA Paper 7217, University Library of Munich, Germany.
    5. Nadir Öcal & Jülide Yildirim, 2010. "Regional effects of terrorism on economic growth in Turkey: A geographically weighted regression approach," Journal of Peace Research, Peace Research Institute Oslo, vol. 47(4), pages 477-489, July.
    6. Ann Dryden Witte, 1980. "Estimating the Economic Model of Crime With Individual Data," The Quarterly Journal of Economics, Oxford University Press, vol. 94(1), pages 57-84.
    7. Mr. Alessandro Rebucci & Mr. Matteo Ciccarelli, 2003. "Bayesian Vars: A Survey of the Recent Literature with An Application to the European Monetary System," IMF Working Papers 2003/102, International Monetary Fund.
    8. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    9. James P. LeSage & Zheng Pan, 1995. "Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models," International Regional Science Review, , vol. 18(1), pages 33-53, January.
    10. Tadashi Yamada & Tetsuji Yamada & Johan M. Kang, 1991. "Crime Rates Versus Labor Market Conditions; Theory and Time-Series Evidence," NBER Working Papers 3801, National Bureau of Economic Research, Inc.
    11. Neanidis, Kyriakos C. & Papadopoulou, Vea, 2013. "Crime, fertility, and economic growth: Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 91(C), pages 101-121.
    12. Krkoska Libor & Robeck Katrin, 2009. "Crime, Business Conduct and Investment Decisions: Enterprise Survey Evidence from 34 Countries in Europe and Asia," Review of Law & Economics, De Gruyter, vol. 5(1), pages 493-516, September.
    13. James LeSage & Bryce Cashell, 2015. "A comparison of vector autoregressive forecasting performance: spatial versus non-spatial Bayesian priors," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 533-560, March.
    14. Mingming Pan & Benjamin Widner & Carl E. Enomoto, 2012. "Growth And Crime In Contiguous States Of Mexico," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 24(1-2), pages 51-64, March.
    15. Dowd, Michael R. & LeSage, James P., 1997. "Analysis of spatial contiguity influences on state price level formation," International Journal of Forecasting, Elsevier, vol. 13(2), pages 245-253, June.
    16. Kumar, Surender, 2013. "Crime and Economic Growth: Evidence from India," MPRA Paper 48794, University Library of Munich, Germany.
    17. Cornwell, Christopher & Trumbull, William N, 1994. "Estimating the Economic Model of Crime with Panel Data," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 360-366, May.
    18. Pan, Zheng & LeSage, James P., 1995. "Using spatial contiguity as prior information in vector autoregressive models," Economics Letters, Elsevier, vol. 47(2), pages 137-142, February.
    19. Tadashi Yamada, 1985. "The Crime Rate and the Condition of the Labor Market: A Vector Autoregressive Model," NBER Working Papers 1782, National Bureau of Economic Research, Inc.
    20. Ehrlich, Isaac, 1973. "Participation in Illegitimate Activities: A Theoretical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 521-565, May-June.
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    More about this item

    Keywords

    Desempleo; Criminalidad; Robos; Frontera Norte; México; Vector Autorregresivo Espacial Bayesiano;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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