CAN POLICE DETER DRUNK DRIVING?
Economic studies using aggregate data generally find that higher taxes are the most effective policy to reduce drunk driving while criminologists report strong evidence supporting law enforcement measures in policy assessments. This paper evaluates these differing perspectives using the aggregate data that is typically used in the economic literature. OLS and fixed effects models show that police can affect the probability of arrest for drunk driving and, in combination with evidence from DUI deterrence experiments, this suggests that the failure of economic models to detect deterrence reflects the lack of systematic and sustained police efforts against DUI.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00036846
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Corporate Authors:
Taylor & Francis
4 Park Square, Milton Park
Abingdon, United Kingdom OX14 4RN -
Authors:
- Benson, B L
- Mast, B D
- Rasmussen, D W
- Publication Date: 2000
Language
- English
Media Info
- Features: Appendices; References; Tables;
- Pagination: p. 357-366
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Serial:
- Applied Economics
- Volume: 32
- Issue Number: 3
- Publisher: Chapman and Hall, Limited
- ISSN: 0003-6846
Subject/Index Terms
- TRT Terms: Drivers; Drunk driving; Economic and social factors; Economic models; Police; Traffic law enforcement
- Uncontrolled Terms: Deterrence; Fixed effects models
- Subject Areas: Economics; Highways; Safety and Human Factors; Security and Emergencies; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 00784162
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 4 2000 12:00AM