An Empirical Analysis of Identity Theft Determinants in the U.S
This study finds that ID theft rates tend to be an increasing function of the unemployment rate and the proportion of the population concentrated in urban areas, and a decreasing function of the relative amount of resources devoted to laws enforcement and the percentage of individuals who claim a religious affiliation. We also find ID theft to be an increasing function of the extent of undocumented immigration, internet access, on the other hand, is found to negatively impact the incidence of ID theft, underscoring the decisive role of immigration and economic variables as determinants of ID theft. Educational attainment in the U.S. does not seem to be a factor.
|Date of creation:||27 May 2006|
|Date of revision:|
|Publication status:||Published in Review of Business Research 6.7(2007): pp. 1-8|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
- Friedman, Milton & Schwartz, Anna J, 1991. "Alternative Approaches to Analyzing Economic Data," American Economic Review, American Economic Association, vol. 81(1), pages 39-49, March.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:57516. 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: (Joachim Winter)
If references are entirely missing, you can add them using this form.