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Exploring the Effects of COVID-19 Containment Policies on Crime: An Empirical Analysis of the Short-term Aftermath in Los Angeles

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  • Campedelli, Gian Maria
  • Aziani, Alberto
  • Favarin, Serena

Abstract

This work investigates whether and how COVID-19 containment policies had an immediate impact on crime trends in Los Angeles. The analysis is conducted using Bayesian structural time-series and focuses on nine crime categories and on the overall crime count, daily monitored from January 1st 2017 to March 28th 2020. We concentrate on two post-intervention time windows—from March 4th to March 16th and from March 4\textsuperscript{th} to March 28th 2020—to dynamically assess the short-term effects of mild and strict policies. In Los Angeles, overall crime has significantly decreased, as well as robbery, shoplifting, theft, and battery. No significant effect has been detected for vehicle theft, burglary, assault with a deadly weapon, intimate partner assault, and homicide. Results suggest that, in the first weeks after the interventions are put in place, social distancing impacts more directly on instrumental and less serious crimes. Policy implications are also discussed.

Suggested Citation

  • Campedelli, Gian Maria & Aziani, Alberto & Favarin, Serena, 2020. "Exploring the Effects of COVID-19 Containment Policies on Crime: An Empirical Analysis of the Short-term Aftermath in Los Angeles," OSF Preprints gcpq8_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:gcpq8_v1
    DOI: 10.31219/osf.io/gcpq8_v1
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    1. Pridemore, W.A. & Chamlin, M.B. & Andreev, E., 2013. "Reduction in male suicide mortality following the 2006 Russian alcohol policy: An Interrupted time series analysis," American Journal of Public Health, American Public Health Association, vol. 103(11), pages 2021-2026.
    2. Cohn, Ellen G. & Rotton, James, 2003. "Even criminals take a holiday: Instrumental and expressive crimes on major and minor holidays," Journal of Criminal Justice, Elsevier, vol. 31(4), pages 351-360.
    3. Mohler, George & Bertozzi, Andrea L. & Carter, Jeremy & Short, Martin B. & Sledge, Daniel & Tita, George E. & Uchida, Craig D. & Brantingham, P. Jeffrey, 2020. "Impact of social distancing during COVID-19 pandemic on crime in Los Angeles and Indianapolis," Journal of Criminal Justice, Elsevier, vol. 68(C).
    4. Mohler, G. O. & Short, M. B. & Brantingham, P. J. & Schoenberg, F. P. & Tita, G. E., 2011. "Self-Exciting Point Process Modeling of Crime," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 100-108.
    5. David K Humphreys & Manuel P Eisner & Douglas J Wiebe, 2013. "Evaluating the Impact of Flexible Alcohol Trading Hours on Violence: An Interrupted Time Series Analysis," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
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    Cited by:

    1. Langton, Samuel & Farrell, Graham & Dixon, Anthony, 2020. "Six Months In: Pandemic Crime Trends in England and Wales," SocArXiv t7ne8_v1, Center for Open Science.
    2. Langton, Samuel & Dixon, Anthony & Farrell, Graham, 2021. "Small area variation in crime effects of COVID-19 policies in England and Wales," SocArXiv cw6a4_v1, Center for Open Science.

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