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Making Corruption Harder

Asymmetric Information, Collusion, and Crime

Bibliographic Data

ID10175354
AuthorsJuan Ortner, Sylvain Chassang (New York University)
Year2018
Volume126
Issue5
Pages2108-2133
Publication date2018-06-12
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Political Economy (JOURNAL)
Journal identifiersISSN: 0022-3808 • E-ISSN: 1537-534X
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/699188
OpenAlexW2808151517
LanguageEN
Citations received1
References cited37

We model criminal investigation as a principal-agent-monitor problem in which the \nagent can bribe the monitor to destroy evidence. Building on insights from Laffont and \nMartimort (1997) we study whether the principal can profitably introduce asymmetric \ninformation between agent and monitor by randomizing the monitor’s incentives. We \nshow it can be the case, but the optimality of random incentives depends on unobserved \npre-existing patterns of private information. We provide a data-driven framework for \npolicy evaluation requiring only unverified reports. A potential local policy change is \nan improvement if, everything else equal, it is associated with greater reports of crime

Business · Collusion · Computer security · Economics · Incentive · Information asymmetry · Language change · Microeconomics · Principal (computer security · Principal–agent problem · Private information retrieval · Public economics · Auction Theory and Applications · Computer Science · Corruption and Economic Development · Finance · Law, Economics, and Judicial Systems

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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