Abstract
This paper examines the determinants of bank robbery in the United States using a rational choice model. Panel data estimation techniques were used to analyze the data for all 50 states and the District of Columbia from 1990 through 2000. A random-effects model emerged as the most appropriate estimating model for costs and benefits of bank robbery. Among the significant determinants of the rate of bank robbery were the unemployment rate and amount of loot. The findings suggest that the rational choice model is a suitable framework for examining bank robbery. However, if we are to draw useful policy conclusions, better data are needed to accurately measure the opportunity costs of bank robbery. (JEL C23, K42)
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