wow-inequalities/02-data/intermediate/wos_sample/0f3f7044962d1d1ee205317aef4590dc-fu-chao-and-wolpin/info.yaml

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abstract: 'We develop a model of crime in which the number of police, the crime
rate, the arrest rate, the employment rate, and the wage rate are joint
outcomes of a subgame perfect Nash equilibrium. The local government
chooses the size of its police force and citizens choose among work,
home, and crime alternatives. We estimate the model using metropolitan
statistical area (MSA)-level data. We use the estimated model to examine
the effects on crime of targeted federal transfers to local governments
to increase police. We find that knowledge about unobserved MSA-specific
attributes is critical for the optimal allocation of police across
MSA''s.'
affiliation: 'Fu, C (Corresponding Author), Univ Wisconsin, Madison, WI 53706 USA.
Fu, Chao, Univ Wisconsin, Madison, WI 53706 USA.
Wolpin, Kenneth, I, Rice Univ, Houston, TX 77251 USA.
Wolpin, Kenneth, I, Univ Penn, Philadelphia, PA 19104 USA.'
author: Fu, Chao and Wolpin I, Kenneth
author_list:
- family: Fu
given: Chao
- family: Wolpin I
given: Kenneth
da: '2023-09-28'
doi: 10.1093/restud/rdx068
eissn: 1467-937X
files: []
issn: 0034-6527
journal: REVIEW OF ECONOMIC STUDIES
keywords: Crime; Multiple equilibria; Estimation; Efficient police allocation
keywords-plus: 'SEARCH MODEL; EDUCATION; MARKET; IDENTIFICATION; UNEMPLOYMENT;
DETERRENCE; PUNISHMENT; INEQUALITY; DROPOUT; SCHOOL'
language: English
month: OCT
number: '4'
number-of-cited-references: '50'
pages: 2097-2138
papis_id: 30c4d73aa144e35eaee28c37f60b5cbd
ref: Fu2018structuralestimation
times-cited: '13'
title: 'Structural Estimation of a Becker-Ehrlich Equilibrium Model of Crime: Allocating
Police Across Cities to Reduce Crime'
type: article
unique-id: WOS:000446103800005
usage-count-last-180-days: '0'
usage-count-since-2013: '26'
volume: '85'
web-of-science-categories: Economics
year: '2018'