IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v14y2019i3p433-446.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.remef.org.mx/index.php/remef/article/view/353
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Islas C., Alejandro & Cortez, Willy Walter, 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    2. Moreira, Ricardo Ramalhete, 2016. "Measuring the Monetary Policy’s Structural Credibility by the Expected Inflation Determinants: a Kalman Filter Approach for Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    3. Baruník, Jozef & Ellington, Michael, 2024. "Persistence in financial connectedness and systemic risk," European Journal of Operational Research, Elsevier, vol. 314(1), pages 393-407.
    4. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: A Network General Equilibrium GVAR approach," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 175-202.
    5. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2016. "Signals from the government: Policy disagreement and the transmission of fiscal shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 107-118.
    6. Laura Liu & Christian Matthes & Katerina Petrova, 2022. "Monetary Policy Across Space and Time," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 37-64, Emerald Group Publishing Limited.
    7. Jozef Barunik & Michael Ellington, 2020. "Dynamic Network Risk," Papers 2006.04639, arXiv.org, revised Jul 2020.
    8. Ciccarelli, Matteo & García, Juan Angel, 2021. "Expectation spillovers and the return of inflation," Economics Letters, Elsevier, vol. 209(C).
    9. Antonio Pacifico, 2019. "Panel Bayesian VAR Modeling for Policy and Forecasting when dealing with confounding and latent effects," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(1), pages 1-1.
    10. Aleksandra Nocoń, 2020. "Sustainable Approach to the Normalization Process of the UK’s Monetary Policy," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    11. French, Joseph J. & Li, Wei-Xuan, 2022. "Economic policy uncertainty and fund flows to the United States," Finance Research Letters, Elsevier, vol. 45(C).
    12. Matkovskyy, Roman, 2012. "The Index of the Financial Safety (IFS) of South Africa and Bayesian Estimates for IFS Vector-Autoregressive Model," MPRA Paper 42173, University Library of Munich, Germany.
    13. Antonio Pacifico, 2019. "Structural Panel Bayesian VAR Model to Deal with Model Misspecification and Unobserved Heterogeneity Problems," Econometrics, MDPI, vol. 7(1), pages 1-24, March.
    14. Mykola Babiak & Jozef Barunik, 2021. "Currency Network Risk," Papers 2101.09738, arXiv.org, revised Jul 2021.
    15. Baruník, Jozef & Bevilacqua, Mattia & Faff, Robert, 2024. "Dynamic industry uncertainty networks and the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    16. Mykola Babiak & Jozef Barunik, 2021. "Uncertainty Network Risk and Currency Returns," CERGE-EI Working Papers wp687, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    17. Ciccarelli, Matteo & Ortega, Eva & Valderrama, Maria Teresa, 2012. "Heterogeneity and cross-country spillovers in macroeconomic-financial linkages," Working Paper Series 1498, European Central Bank.
    18. Pauwels, Koen & Demirci, Ceren & Yildirim, Gokhan & Srinivasan, Shuba, 2016. "The impact of brand familiarity on online and offline media synergy," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 739-753.
    19. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
    20. Acosta-Smith, Jonathan & Barunik, Jozef & Gerba, Eddie & Katsoulis, Petros, 2024. "Moderation or indulgence? Effects of bank distribution restrictions during stress," Bank of England working papers 1053, Bank of England.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imx:journl:v:14:y:2019:i:3:p:433-446. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ricardo Mendoza (email available below). General contact details of provider: https://www.remef.org.mx/index.php/remef/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.