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Optimal Corporate Leniency Programs

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  • JOSEPH E. HARRINGTON

Abstract

This study characterizes the corporate leniency policy that minimizes the frequency with which collusion occurs. Though it can be optimal to provide only partial leniency, plausible sufficient conditions are provided whereby the antitrust authority should waive all penalties for the first firm to come forward. It is also shown that restrictions should be placed on when amnesty is awarded, though it can be optimal to award amnesty even when the antitrust authority is very likely to win the case without insider testimony.

Suggested Citation

  • Joseph E. Harrington, 2008. "Optimal Corporate Leniency Programs," Journal of Industrial Economics, Wiley Blackwell, vol. 56(2), pages 215-246, June.
  • Handle: RePEc:bla:jindec:v:56:y:2008:i:2:p:215-246
    DOI: 10.1111/j.1467-6451.2008.00339.x
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    References listed on IDEAS

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    1. Motta, Massimo & Polo, Michele, 2003. "Leniency programs and cartel prosecution," International Journal of Industrial Organization, Elsevier, vol. 21(3), pages 347-379, March.
    2. Joseph E. Harrington, Jr., 2004. "Cartel Pricing Dynamics in the Presence of an Antitrust Authority," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 651-673, Winter.
    3. repec:dau:papers:123456789/13637 is not listed on IDEAS
    4. Harrington, Joseph Jr. & Chen, Joe, 2006. "Cartel pricing dynamics with cost variability and endogenous buyer detection," International Journal of Industrial Organization, Elsevier, vol. 24(6), pages 1185-1212, November.
    5. Joseph E. Harrington, 2005. "Optimal Cartel Pricing In The Presence Of An Antitrust Authority," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(1), pages 145-169, February.
    6. Aubert, Cecile & Rey, Patrick & Kovacic, William E., 2006. "The impact of leniency and whistle-blowing programs on cartels," International Journal of Industrial Organization, Elsevier, vol. 24(6), pages 1241-1266, November.
    Full references (including those not matched with items on IDEAS)

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