References (47)



A Simple Threshold Model of Theft

Geoffrey Fain Williams

Transylvania University

November 14, 2011

I propose a simple threshold strategy model of theft in which all individuals draw theft opportunities from the same random distribution, while individuals di ffer in terms of their actual or perceived costs of theft. I estimate the model using data from the NLSY 1997 Cohort for the years 1997-2003 with a number of specifi cations, including a bivariate structural model. Across all estimations covariates that measure or are closely correlated with time preferences and impatience are strong predictors of theft while measures such as opportunity cost show little or no explanatory power. The assumption of a common distribution of opportunities is not contradicted by the data. Structural and count estimations support the conclusion that unobserved heterogeneity across individuals plays a substantial role. I uncover a previously unnoticed pattern: theft is very spiky in that the median thief is active for only a brief period of less than a year in adolescence or early adulthood. Theft thus appears to be substantially a phenomenon of high impatience individuals entering a temporary period of intensi fied risk-taking in adolescence. Finally, and in contrast to the predictions of the literature, the two count data models favored in cases of unobserved heterogeneity perform very differently, suggesting that using count models in tandem with binary models o ffers more insight than using count models in isolation.

Number of Pages in PDF File: 41

Keywords: Crime, Theft

JEL Classification: J24, K42

Open PDF in Browser Download This Paper

Date posted: January 3, 2012  

Suggested Citation

Williams, Geoffrey Fain, A Simple Threshold Model of Theft (November 14, 2011). Available at SSRN: http://ssrn.com/abstract=1978855 or http://dx.doi.org/10.2139/ssrn.1978855

Contact Information

Geoffrey Fain Williams (Contact Author)
Transylvania University ( email )
300 N Broadway
Lexington, KY 40502
United States
Feedback to SSRN

Paper statistics
Abstract Views: 384
Downloads: 26
References:  47

© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollobot1 in 0.219 seconds