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La relación entre robo y desempleo de varones jóvenes en México, 2005-2017

Author

Listed:
  • Eduardo Loría Díaz

    (Universidad Nacional Autónoma de México, México)

  • Emmanuel Gerardo Salas

    (Universidad Nacional Autónoma de México, México)

Abstract

A partir de la teoría de la elección racional probamos econométricamente los determinantes económicos del robo a través de un BVAR que analiza la relación del robo con la precariedad del mercado laboral y el desempleo de los varones de 15 a 24 años con baja escolaridad. Verificamos que existe un círculo vicioso entre precariedad del mercado laboral, robo, desempleo y actividad económica. Este artículo se destaca al modelar los determinantes del robo con este enfoque y no solo considerarlo una conducta antisocial. Por lo tanto, sugerimos que una política de seguridad pública eficiente será aquella que no solo combata con firmeza la delincuencia, sino que también aborde su origen socioeconómico y reduzca la impunidad. Es necesario articular una estrategia con varias acciones simultáneas que reduzcan rápidamente el robo porque encontramos que una vez que ha comenzado se reproduce.

Suggested Citation

  • Eduardo Loría Díaz & Emmanuel Gerardo Salas, 2019. "La relación entre robo y desempleo de varones jóvenes en México, 2005-2017," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(3), pages 433-446, Julio - S.
    • Handle: RePEc:imx:journl:v:14:y:2019:i:3:p:433-446
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    References listed on IDEAS

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    1. Arias-Vazquez, Francisco Javier & Azuara, Oliver & Bernal, Pedro & Heckman, James J. & Villarreal, Cajeme, 2010. "Policies to Promote Growth and Economic Efficiency in Mexico," IZA Discussion Papers 4740, Institute of Labor Economics (IZA).
    2. repec:eee:labchp:v:3:y:1999:i:pc:p:3529-3571 is not listed on IDEAS
    3. Prachowny, Martin F J, 1993. "Okun's Law: Theoretical Foundations and Revised Estimates," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 331-336, May.
    4. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    5. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    6. Robert B. Litterman, 1984. "Specifying vector autoregressions for macroeconomic forecasting," Staff Report 92, Federal Reserve Bank of Minneapolis.
    7. Cortez, Willy Walter & Islas C., Alejandro, 2018. "¿Puede el sector informal afectar a la relación entre desempleo y producción? Un análisis del caso de México," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    8. -, 2018. "Revista CEPAL no. 126," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    9. Freeman, Richard B., 1999. "The economics of crime," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 52, pages 3529-3571, Elsevier.
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    More about this item

    Keywords

    Robo Común; Condiciones Críticas de Ocupación; Desempleo Juvenil; lento crecimiento; VAR Bayesiano;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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