Affiliation:
1. University of Chicago
2. Columbia University
3. Development Bank of Latin America (CAF) and IESA
4. Universidad EAFIT
Abstract
Abstract
In 2016, the city of Bogotá doubled police patrols and intensified city services on high-crime streets. They did so based on a criminological consensus that such place-based programs not only decrease crime, but also have beneficial spillovers for nearby streets. To test this, we worked with Bogotá to experiment on an unprecedented scale. We randomly assigned 1,919 streets to either 8 months of doubled police patrols, greater municipal services, both, or neither. Such scale brings econometric challenges. Spatial spillovers in dense networks introduce bias and complicate variance estimation through “fuzzy clustering”. But a design-based approach and randomization inference produce valid hypothesis tests in such settings. In contrast to the consensus, we find intensifying state presence did not generate substantively meaningful or statistically significant reductions in crime. Our estimates suggest modest direct effects but with crime displaced nearby, especially property crimes. Confidence intervals suggest we can rule out total reductions in crime of more than 2% from the two interventions.
Funder
J-PAL Governance Initiative
3ie
Development Bank of Latin America
Fundación Probogotá
Organización Ardila Lülle via Universidad de los Andes CESED
COLCIENCIAS
Government of Colombia
J. William Fulbright Program
Publisher
Oxford University Press (OUP)
Subject
General Economics, Econometrics and Finance
Reference38 articles.
1. Clustering as a Design Problem;Abadie,2016
2. What Works in Reducing Community Violence: A Meta Review and Field Study for the Northern Triangle;Abt,2016
3. Crime and the Depenalization of Cannabis Possession: Evidence from a Policing Experiment;Adda;Journal of Political Economy,2014
4. Sanctions, Perceptions, and Crime: Implications for Criminal Deterrence;Apel;Journal of Quantitative Criminology,2013
5. Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment;Aronow,2013
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