RT Article
T1 Measurement and Other Errors in County-Level UCR Data: A Reply to Lott and Whitley
JF Journal of quantitative criminology
VO 19
IS 2
SP 199
OP 206
A1 Maltz, Michael D.
A2 Targonski, Joseph
LA English
YR 2003
UL https://krimdok.uni-tuebingen.de/Record/1764280539
AB 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.
K1 measurement error
K1 county-level crime data
K1 Guns
K1 concealed weapons
K1 Imputation
K1 Uniform Crime Reports
DO 10.1023/A:1023006321454