Abstract
Drawing on rational choice theory, this study considers how best to measureunemployment within the context of the unemployment–property crimerelationship. Specifically, we use ARIMA techniques to examine the relativeefficacy of using the conventional Bureau of Labor Statistics (BLS)unemployment rate and two alternative measures of the demand for labor aspredictors of monthly counts of U.S. property offenses for the years 1982through 1996. The bivariate time series analyses indicate that while theBLS unemployment rate exhibits null effects, the number of individualsunemployed for 15 weeks or more and the capacity utilization ratesignificantly affect the level of property crime. The implications ofthese results are discussed.
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