IDEAS home Printed from https://ideas.repec.org/a/eme/jfcpps/jfc-04-2022-0085.html
   My bibliography  Save this article

Reporting behaviors of familiar identity theft victims: an empirical test of Black’s theory of law

Author

Listed:
  • Axton Betz-Hamilton

Abstract

Purpose - Familiar identity theft, which occurs when an individual known to a victim steals his/her identity, is a common problem in the USA. The purpose of this study was to understand familiar identity theft victims’ reporting behaviors using Black's (1976) theory of law as a conceptual framework. Design/methodology/approach - Data were obtained from the 2012, 2014, 2016 and 2018 administrations of the National Crime Victimization Survey – Identity Theft Supplement. A series of cross-tabulations were conducted to examine the relationship between reporting behaviors and age, minority, gender, income, marital status and education. Fisher’s exact test was used to interpret the findings. Findings - Key findings include older familiar identity theft victims who personally lost greater sums of money because of identity theft victimization were more likely to report to law enforcement than younger familiar identity theft victims who personally lost less money. Married familiar identity theft victims were less likely to report to law enforcement than those who were not married. Originality/value - This study extends the work of Golladay (2017) to explore the reporting behaviors of a population of identity theft victims that have been largely overlooked in empirical literature.

Suggested Citation

  • Axton Betz-Hamilton, 2022. "Reporting behaviors of familiar identity theft victims: an empirical test of Black’s theory of law," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 30(4), pages 1055-1065, May.
  • Handle: RePEc:eme:jfcpps:jfc-04-2022-0085
    DOI: 10.1108/JFC-04-2022-0085
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JFC-04-2022-0085/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JFC-04-2022-0085/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/JFC-04-2022-0085?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
    ---><---

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

    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:jfcpps:jfc-04-2022-0085. 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.