IDEAS home Printed from https://ideas.repec.org/h/eme/aecozz/s0731-905320190000039015.html
   My bibliography  Save this book chapter

Does Selective Crime Reporting Influence Our Ability to Detect Racial Discrimination in the Nypd’s Stop-and-Frisk Program?

In: The Econometrics of Complex Survey Data

Author

Listed:
  • Steven F. Lehrer
  • Louis-Pierre Lepage

Abstract

Prior analyses of racial bias in the New York City’s Stop-and-Frisk program implicitly assumed that potential bias of police officers did not vary by crime type and that their decision of which type of crime to report as the basis for the stop did not exhibit any bias. In this paper, we first extend the hit rates model to consider crime type heterogeneity in racial bias and police officer decisions of reported crime type. Second, we reevaluate the program while accounting for heterogeneity in bias along crime types and for the sample selection which may arise from conditioning on crime type. We present evidence that differences in biases across crime types are substantial and specification tests support incorporating corrections for selective crime reporting. However, the main findings on racial bias do not differ sharply once accounting for this choice-based selection.

Suggested Citation

  • Steven F. Lehrer & Louis-Pierre Lepage, 2019. "Does Selective Crime Reporting Influence Our Ability to Detect Racial Discrimination in the Nypd’s Stop-and-Frisk Program?," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 259-286, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:aecozz:s0731-905320190000039015
    DOI: 10.1108/S0731-905320190000039015
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0731-905320190000039015/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0731-905320190000039015/full/epub?utm_source=repec&utm_medium=feed&utm_campaign=repec&title=10.1108/S0731-905320190000039015
    Download Restriction: no

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0731-905320190000039015/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://libkey.io/10.1108/S0731-905320190000039015?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
    ---><---

    Citations

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


    Cited by:

    1. 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.

    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:eme:aecozz:s0731-905320190000039015. 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.

    We have no bibliographic 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.

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

    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.