A scale for the measurement of fear of crime

This paper presents research findings from a victimization survey of 1442 Texas residents. Specific attention is given to the fear of crime indicators in the survey with comparisons made to other findings on this subject.     

Reviews

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Analysis of artificial fireplace logs by high temperature gas chromatography

High temperature gas chromatography is used to analyze the wax of artificial fireplace logs (firelogs). Firelogs from several different manufacturers are studied and compared. This study shows that the wax within a single firelog is homogeneous and that the wax is also uniform throughout a multi-firelog package. Different brands are shown to have different wax compositions. Firelogs of the same brand, but purchased in different locations, also have different wax compositions. With this information it may be possible to associate an unknown firelog sample to a known sample, but a definitive statement of the origin cannot be made.     

Theoretical and Empirical Work on the Relationship Between Unemployment and Crime

Part of the ongoing debate between Cantor and Land and Greenberg centers on differing opinions about the question of interest in Cantor and Land (1985). We begin this article with our opinion that Cantor and Land's theory relates changes in the business cycle to changes in the aggregate rate of crime. We then question whether year-to-year changes adequately reflect changes in the business cycle, which last on average 4 years, and we refer to an article by Cook and Zarkin (1985) which presents an alternative method of measuring business cycle changes. We also discuss how Greenberg's use of cointegration provides an alternative way of addressing the difficult statistical problem of nonstationarity without resorting to first differences. Our final contribution involves noticing that opportunity and motivational theories of crime can be structurally identified by focusing on different types of crime rather than temporal lags. We demonstrate this idea by splitting car theft into joyriding and theft for profit. We show that joyriding appears to be driven by opportunity, while the causal structure of theft for profit is less clear.