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Replication data for: A Theory of Optimal Random Crackdowns

Version
1
Resource Type
Dataset
Creator
  • Eeckhout, Jan
  • Persico, Nicola
  • Todd, Petra E.
Publication Date
2010-06-01
Description
  • Abstract

    An incentives based theory of policing is developed which can explain the phenomenon of random "crackdowns," i.e., intermittent periods of high interdiction/ surveillance. For a variety of police objective functions, random crackdowns can be part of the optimal monitoring strategy. We demonstrate support for implications of the crackdown theory using traffic data gathered by the Belgian Police Department and use the model to estimate the deterrence effect of additional resources spent on speeding interdiction. (JEL K42, R41)
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.100.3.1104 (Text)
Publications
  • Eeckhout, Jan, Nicola Persico, and Petra E Todd. “A Theory of Optimal Random Crackdowns.” American Economic Review 100, no. 3 (June 2010): 1104–35. https://doi.org/10.1257/aer.100.3.1104.
    • ID: 10.1257/aer.100.3.1104 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-11

Eeckhout, Jan; Persico, Nicola; Todd, Petra E. (2010): Replication data for: A Theory of Optimal Random Crackdowns. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E112348V1