IDEAS home Printed from https://ideas.repec.org/p/bdm/wpaper/2021-19.html
   My bibliography  Save this paper

The Impact of the Capture of Leaders of Criminal Organizations on the Labor Market: Evidence from Mexico

Author

Listed:
  • Osuna Gómez Daniel

Abstract

This paper estimates the impact of the capture of leaders of criminal organizations on the labor market in municipalities where these organizations operated between 2004 and 2006. The difference-in-difference analysis compares different employment outcomes in cartel locations and the rest, before and after the capture of cartel leaders. The results show that captures caused a decrease in nominal wages and paid employment in cartel municipalities. Using Economic Census Data, I find that captures also caused a fall in the number of establishments and had a negative impact on other establishment outcomes. This document focuses exclusively on the impact of the capture of leaders of criminal organizations on the labor market until 2011 without studying other possible consequences, and thus does not make an integral assessment of this policy.

Suggested Citation

  • Osuna Gómez Daniel, 2021. "The Impact of the Capture of Leaders of Criminal Organizations on the Labor Market: Evidence from Mexico," Working Papers 2021-19, Banco de México.
    • Handle: RePEc:bdm:wpaper:2021-19
    as

    Download full text from publisher

    File URL: https://www.banxico.org.mx/publications-and-press/banco-de-mexico-working-papers/%7BDCA4702D-D8BE-8F58-B92E-696B3E931D5C%7D.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
    2. repec:uab:wprdea:wpdea1410 is not listed on IDEAS
    3. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    4. Gabriela Calderon & Gustavo Robles & Beatriz Magaloni, 2013. "Economic Consequences of Drug-Trafficking Violence in Mexico," Research Department Publications IDB-WP-426, Inter-American Development Bank, Research Department.
    5. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    6. Roxana Gutierrez-Romero & Monica Oviedo Leon, 2014. "The good, the bad and the ugly: The socio-economic impact of drug cartels and their violence in Mexico," Working Papers wpdea1407, Department of Applied Economics at Universitat Autonoma of Barcelona.
    7. Luke E. Chicoine, 2017. "Homicides in Mexico and the expiration of the U.S. federal assault weapons ban: a difference-in-discontinuities approach," Journal of Economic Geography, Oxford University Press, vol. 17(4), pages 825-856.
    8. Melissa Dell, 2015. "Trafficking Networks and the Mexican Drug War," American Economic Review, American Economic Association, vol. 105(6), pages 1738-1779, June.
    9. Teresa C Fort & John Haltiwanger & Ron S Jarmin & Javier Miranda, 2013. "How Firms Respond to Business Cycles: The Role of Firm Age and Firm Size," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(3), pages 520-559, August.
    10. Andrew Goodman-Bacon, 2018. "Difference-in-Differences with Variation in Treatment Timing," NBER Working Papers 25018, National Bureau of Economic Research, Inc.
    11. Jose Ramon Morales Arilla, 2019. "The Impact of the Mexican Drug War on Trade," CID Working Papers 109a, Center for International Development at Harvard University.
    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. Samuel Nocito & Marcello Sartarelli & Francesco Sobbrio, 2021. "A Beam of Light: Media, Tourism & Economic Development," CESifo Working Paper Series 9055, CESifo.
    2. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
    3. Jeffrey D. Michler & Anna Josephson, 2022. "Recent developments in inference: practicalities for applied economics," Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268, Edward Elgar Publishing.
    4. Peter Z. Schochet, 2021. "Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing," Papers 2102.06770, arXiv.org, revised Oct 2021.
    5. Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2024. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 193-212, January.
    6. Sandra V. Rozo & Therese Anders & Steven Raphael, 2021. "Deportation, crime, and victimization," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 141-166, January.
    7. Luis Alvarez & Bruno Ferman, 2020. "Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation," Papers 2006.16997, arXiv.org, revised Apr 2023.
    8. Fernández Guerrico, Sofía, 2021. "The effects of trade-induced worker displacement on health and mortality in Mexico," Journal of Health Economics, Elsevier, vol. 80(C).
    9. Hicks, Jeffrey & Simard-Duplain, Gaëlle & Green, David A. & Warburton, William, 2022. "The effect of reducing welfare access on employment, health, and children's long-run outcomes," CLEF Working Paper Series 51, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    10. Baumgarten, Daniel & Kvasnicka, Michael, 2017. "Temporary agency work and the Great Recession," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 29-44.
    11. Ashesh Rambachan & Jonathan Roth, 2020. "Design-Based Uncertainty for Quasi-Experiments," Papers 2008.00602, arXiv.org, revised Feb 2024.
    12. Derksen, Laura & Kerwin, Jason Theodore & Reynoso, Natalia Ordaz & Sterck, Olivier, 2021. "Appointments: A More Effective Commitment Device for Health Behaviors," SocArXiv y8gh7, Center for Open Science.
    13. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    14. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    15. Kunze, Lars & Suppa, Nicolai, 2017. "Bowling alone or bowling at all? The effect of unemployment on social participation," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 213-235.
    16. Hirschauer, Norbert & Grüner, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2020. "Can p-values be meaningfully interpreted without random sampling?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14, pages 71-91.
    17. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    18. Joana Elisa Maldonado & Kristof De Witte & Koen Declercq, 2022. "The effects of parental involvement in homework: two randomised controlled trials in financial education," Empirical Economics, Springer, vol. 62(3), pages 1439-1464, March.
    19. Federico Bugni & Ivan Canay & Azeem Shaikh & Max Tabord-Meehan, 2022. "Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes," Papers 2204.08356, arXiv.org, revised Apr 2024.
    20. Rodion Skovoroda & Shaun Goldfinch & Karl DeRouen & Trevor Buck, 2019. "The Attraction of FDI to Conflicted States: The Counter-Intuitive Case of US Oil and Gas," Management International Review, Springer, vol. 59(2), pages 229-251, April.

    More about this item

    Keywords

    Organized Crime; Labor Markets; Firms;
    All these keywords.

    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bdm:wpaper:2021-19. 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: Subgerencia de desarrollo de sistemas (email available below). General contact details of provider: https://edirc.repec.org/data/bangvmx.html .

    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.