University of California Hastings College of Law; Ugent - CASLE; Stanford CIS
Jef De Mot
Ghent University-Universiteit Gent - Faculty of Law
Supreme Court Economic Review, Vol. 13, 2005
George Mason Law & Economics Research Paper No. 04-56
For law enforcement purposes corruption and fraud are hard battles. Because of the highly secretive and premeditated nature of these crimes, prime witnesses are themselves often implicated in the fraudulent transaction. Promises of immunity and whistle blowing rewards are often required to resolve these information asymmetries. These insights have set a trend, both in scholarship and law enforcement practice, towards reward-based approaches (carrots), as an alternative or complement to punishment based deterrence (sticks).
Applying the U.S. False Claims Act (FCA) as an analytical framework, we provide a critical review of the efficiency limitations of whistle blowing. More specifically, the formal model developed in this contribution, reveals a gap between social and private incentives in whistle blowing, both with regard to the decision to pursue litigation and the timing of whistle blowing. First, while an insider will blow the whistle whenever his expected recovery exceeds the expected costs of litigation, enforcement agencies seek to optimize enforcement in the long run. The autonomy of whistle blowers to pursue claims without government involvement, weakens the government's bargaining position and obstructs the government's ability to weigh in wider factors of enforcement (the effect of an individual case on a multiple claim suit, etc.). Second, whenever rewards are tied to recovery, bounty awards create a perverse incentive whereby fraudulent practices are not terminated at a socially optimal point in time. The potential race among whistle blowers cannot mitigate this effect fully because the stigma and loss of opportunities on the job market act as internal constraints on whistle blowing.
Number of Pages in PDF File: 27
Keywords: whistle blowing, False Claims Act, law and economics
JEL Classification: K10, K42
Date posted: December 9, 2004
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