IDEAS home Printed from
   My bibliography  Save this paper

How Do NYPD Officers Respond to Terror Threats?


  • Steven F. Lehrer
  • Louis Pierre Lepage


Using data from the New York City Police Department's Stop-and-Frisk program, we evaluate the impact of a specific terrorist attack threat from Al Qaeda on policing behavior in New York City. We find that after the Department of Homeland Security raised the alert level in response to this threat, people categorized as "Other" by the NYPD, including Arabs, were significantly more likely to be frisked and have force used against them yet no more likely to be arrested. These individuals were in turn less likely to be frisked or have force used against them immediately after the alert level returned to its baseline level. Further, evidence suggests that these impacts were larger in magnitude in police precincts that have a higher concentration of mosques. Our results are consistent with profiling by police officers leading to low-productivity stops, but we cannot rule out that it constitutes efficient policing given important differences between deterrence of terrorism versus other crimes.

Suggested Citation

  • Steven F. Lehrer & Louis Pierre Lepage, 2019. "How Do NYPD Officers Respond to Terror Threats?," NBER Working Papers 26438, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26438
    Note: PE

    Download full text from publisher

    File URL:
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at Free access is also available to older working papers.

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:nbr:nberwo:26438. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.