Measurement and Other Errors in County-Level UCR Data: A Reply to Lott and Whitley

Lott and Whitley note that our analyses of the errors in the county-level UCR data used in More Guns, Less Crime (J. R. Lott, University of Chicago Press, Chicago, 1998, 2000) ignore the fact that all data have measurement error, that the largest errors were in counties with low populations, and tha...

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Bibliographic Details
Main Author: Maltz, Michael D. (Author)
Contributors: Targonski, Joseph
Format: Electronic Article
Language:English
Published: 2003
In: Journal of quantitative criminology
Year: 2003, Volume: 19, Issue: 2, Pages: 199-206
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Keywords:
Guns
Imputation
Uniform Crime Reports
concealed weapons
county-level crime data
measurement error
Description
Summary:Lott and Whitley note that our analyses of the errors in the county-level UCR data used in More Guns, Less Crime (J. R. Lott, University of Chicago Press, Chicago, 1998, 2000) ignore the fact that all data have measurement error, that the largest errors were in counties with low populations, and that population-weighted regressions were used. We agree that this mitigates some of the effects of the errors, but does not take them fully into account. We also note that this is but one of the problems associated with the analysis. We therefore find no reason to alter our original conclusion, that in their current condition, county-level UCR crime statistics cannot be used for evaluating the effects of changes in policy.
ISSN:1573-7799
DOI:10.1023/A:1023006321454