Replication data for: Now You See Me, Now You Don't: The Geography of Police Stops

Principal Investigator(s): View help for Principal Investigator(s) Jesse J. Kalinowski; Matthew B. Ross; Stephen L. Ross

Version: View help for Version V1

Name	File Type	Size	Last Modified
75pct_OfficerDist.do	text/plain	4.6 KB	12/07/2019 10:30:AM
Actual_Change_for_maps.do	text/plain	8.2 KB	12/07/2019 10:30:AM
Actual_Change_viols.do	text/plain	11.1 KB	12/07/2019 10:30:AM
DST_Boot_geo.do	text/plain	7.8 KB	12/07/2019 10:30:AM
DST_Boot_viols.do	text/plain	6.9 KB	12/07/2019 10:30:AM
Officer_Regressions.do	text/plain	32.7 KB	12/07/2019 10:30:AM
Preparing_Trafficdata.do	text/plain	37.9 KB	12/07/2019 10:30:AM
Scrape_and_Prep_Visibility.do	text/plain	9.8 KB	12/07/2019 10:30:AM
VOD_Boot_geo.do	text/plain	7.2 KB	12/07/2019 10:30:AM
VOD_Boot_viols.do	text/plain	6.8 KB	12/07/2019 10:30:AM

Project Description

Summary: This paper uses state police stop data in Texas to assess patrol activity. We find that both the types of stops and allocation of resources over space change in darkness relative to daylight, and that the changes in stop type and manpower allocation are correlated within police officers. We also find that the counties receiving more police resources in darkness have a higher share of minority residents. Veil of Darkness (VOD) tests of racial discrimination in traffic stops require that the distribution of motorists be independent of darkness, which is unlikely to be the case without detailed geographic controls.

Scope of Project

JEL Classification:
      H76 State and Local Government: Other Expenditure Categories
      J15 Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
      J45 Public Sector Labor Markets
      K42 Illegal Behavior and the Enforcement of Law
      R12 Size and Spatial Distributions of Regional Economic Activity

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Published Versions

V1 [2019-12-07]

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DDI 2.5

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