IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v185y2022i3p1370-1397.html
   My bibliography  Save this article

Does stop and search reduce crime? Evidence from street‐level data and a surge in operations following a high‐profile crime

Author

Listed:
  • Nils Braakmann

Abstract

This paper uses a surge in stop and search operations following a high‐profile murder to look at their effect on recorded crime. Difference‐in‐difference estimates using detailed geocoded data at the street‐level suggest a doubling to trebling of the number of searches in streets close to the place of the murder. IV estimates on the effects of stops and searches on crime suggest little effect on property crime, weapons offences and violent crime or drug offences. Some specifications find reductions in anti‐social behaviour, suggesting that any effects on crime are due to an increased police presence on the streets.

Suggested Citation

  • Nils Braakmann, 2022. "Does stop and search reduce crime? Evidence from street‐level data and a surge in operations following a high‐profile crime," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1370-1397, July.
  • Handle: RePEc:bla:jorssa:v:185:y:2022:i:3:p:1370-1397
    DOI: 10.1111/rssa.12839
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rssa.12839
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rssa.12839?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mirko Draca & Stephen Machin & Robert Witt, 2011. "Panic on the Streets of London: Police, Crime, and the July 2005 Terror Attacks," American Economic Review, American Economic Association, vol. 101(5), pages 2157-2181, August.
    2. Bruno Ferman & Cristine Pinto, 2019. "Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 452-467, July.
    3. Timothy G. Conley & Christopher R. Taber, 2011. "Inference with "Difference in Differences" with a Small Number of Policy Changes," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 113-125, February.
    4. Mastrobuoni, Giovanni, 2019. "Police disruption and performance: Evidence from recurrent redeployments within a city," Journal of Public Economics, Elsevier, vol. 176(C), pages 18-31.
    5. Mello, Steven, 2019. "More COPS, less crime," Journal of Public Economics, Elsevier, vol. 172(C), pages 174-200.
    6. Vincenzo Bove & Evelina Gavrilova, 2017. "Police Officer on the Frontline or a Soldier? The Effect of Police Militarization on Crime," American Economic Journal: Economic Policy, American Economic Association, vol. 9(3), pages 1-18, August.
    7. John M. MacDonald & Jonathan Klick & Ben Grunwald, 2016. "The effect of private police on crime: evidence from a geographic regression discontinuity design," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 831-846, June.
    8. McMillen, Daniel & Sarmiento-Barbieri, Ignacio & Singh, Ruchi, 2019. "Do more eyes on the street reduce Crime? Evidence from Chicago's safe passage program," Journal of Urban Economics, Elsevier, vol. 110(C), pages 1-25.
    9. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    10. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    11. Steven F. Lehrer & Louis‐Pierre Lepage, 2020. "How Do NYPD Officers Respond to Terror Threats?," Economica, London School of Economics and Political Science, vol. 87(347), pages 638-661, July.
    12. 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.
    13. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    14. Cheng, Cheng & Long, Wei, 2018. "Improving police services: Evidence from the French Quarter Task Force," Journal of Public Economics, Elsevier, vol. 164(C), pages 1-18.
    15. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    16. Neeraj Kaushal & Robert Kaestner & Cordelia Reimers, 2007. "Labor Market Effects of September 11th on Arab and Muslim Residents of the United States," Journal of Human Resources, University of Wisconsin Press, vol. 42(2).
    17. Alberto Dávila & Marie Mora, 2005. "Changes in the earnings of Arab men in the US between 2000 and 2002," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(4), pages 587-601, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wildman, John & Wildman, Josephine M., 2023. "Impact of a link worker social prescribing intervention on non-elective admitted patient care costs: A quasi-experimental study," Social Science & Medicine, Elsevier, vol. 317(C).

    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. Blesse, Sebastian & Diegmann, André, 2019. "Police reorganization and crime: Evidence from police station closures," Working Papers 07/2019, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    2. Blesse, Sebastian & Diegmann, André, 2022. "The place-based effects of police stations on crime: Evidence from station closures," Journal of Public Economics, Elsevier, vol. 207(C).
    3. Anna Bindler & Randi Hjalmarsson, 2021. "The Impact of the First Professional Police Forces on Crime [State Capacity and Economic Development: A Network Approach]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3063-3103.
    4. Tom Kirchmaier & Stephen Machin & Matteo Sandi & Robert Witt, 2020. "Prices, Policing and Policy: The Dynamics of Crime Booms and Busts," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 1040-1077.
    5. Gregory De & Marina Toger & Sarit Weisburd, 2023. "Police Response Time and Injury Outcomes," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2147-2177.
    6. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    7. 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.
    8. Luo, Changyuan & Luo, Qin & Zeng, Shuai, 2022. "Bilateral tax agreement and FDI inflows: Evidence from Hong Kong investment in the Mainland China," China Economic Review, Elsevier, vol. 73(C).
    9. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    10. Kang, Songman & Kim, Duol, 2022. "Focus vs. spread: Police box consolidation and its impact on crime in Korea," International Review of Law and Economics, Elsevier, vol. 70(C).
    11. Lovett, Nicholas & Xue, Yuhan, 2022. "Rare homicides, criminal behavior, and the returns to police labor," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 172-195.
    12. Cheng, Cheng & Long, Wei, 2018. "Improving police services: Evidence from the French Quarter Task Force," Journal of Public Economics, Elsevier, vol. 164(C), pages 1-18.
    13. Lepage, Louis-Pierre, 2023. "Discrimination and sorting in the real estate market: Evidence from terrorist attacks and mosques," European Economic Review, Elsevier, vol. 153(C).
    14. Blanes i Vidal, Jordi & Mastrobuoni, Giovanni, 2018. "Police Patrols and Crime," IZA Discussion Papers 11393, Institute of Labor Economics (IZA).
    15. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls When Estimating Treatment Effects Using Clustered Data," Working Paper 1387, Economics Department, Queen's University.
    16. Andreas Olden & Jarle Møen, 2022. "The triple difference estimator [Semiparametric difference-in-differences estimators]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 531-553.
    17. James G. MacKinnon & Matthew D. Webb, 2020. "When and How to Deal with Clustered Errors in Regression Models," Working Paper 1421, Economics Department, Queen's University.
    18. Aaron Chalfin & Michael LaForest & Jacob Kaplan, 2021. "Can Precision Policing Reduce Gun Violence? Evidence from “Gang Takedowns” in New York City," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1047-1082, September.
    19. Luis Aguiar & Jörg Claussen & Christian Peukert, 2018. "Catch Me If You Can: Effectiveness and Consequences of Online Copyright Enforcement," Information Systems Research, INFORMS, vol. 29(3), pages 656-678, September.
    20. Carrieri, Vincenzo & Madio, Leonardo & Principe, Francesco, 2019. "Light cannabis and organized crime: Evidence from (unintended) liberalization in Italy," European Economic Review, Elsevier, vol. 113(C), pages 63-76.

    More about this item

    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:bla:jorssa:v:185:y:2022:i:3:p:1370-1397. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.