Aaron Chalfin, Justin McCrary
We document the extent of measurement errors in the basic data set on police used in the literature on the effect of police on crime. Analyzing medium to large U.S. cities over over 1960-2010, we obtain measurement error corrected estimates of the police elasticity. The magnitudes of our estimates are similar to those obtained in the quasi-experimental literature, but our approach yields much greater parameter certainty for the most costly crimes, which are the key parameters for welfare analysis. Our analysis suggests that U.S. cities are substantially underpoliced.