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Bayesian Approach for Estimating the Probability of Cartel Penalization under the Leniency Program

Author

Listed:
  • Jihyun Park

    (Department of Industrial and Management Engineering, Hanyang University, Seoul 04763, Korea)

  • Juhyun Lee

    (Department of Industrial and Management Engineering, Hanyang University, Seoul 04763, Korea)

  • Suneung Ahn

    (Department of Industrial and Management Engineering, Hanyang University ERICA, Ansan 15588, Korea)

Abstract

Cartels cause tremendous damage to the market economy and disadvantage consumers by creating higher prices and lower-quality goods; moreover, they are difficult to detect. We need to prevent them through scientific analysis, which includes the determination of an indicator to explain antitrust enforcement. In particular, the probability of cartel penalization is a useful indicator for evaluating competition enforcement. This study estimates the probability of cartel penalization using a Bayesian approach. In the empirical study, the probability of cartel penalization is estimated by a Bayesian approach from the cartel data of the Department of Justice in the United States between 1970 and 2009. The probability of cartel penalization is seen as sensitive to changes in competition law, and the results have implications for market efficiency and the antitrust authority’s efforts against cartel formation and demise. The result of policy simulation shows the effectiveness of the leniency program. Antitrust enforcement is evaluated from the estimation results, and can therefore be improved.

Suggested Citation

  • Jihyun Park & Juhyun Lee & Suneung Ahn, 2018. "Bayesian Approach for Estimating the Probability of Cartel Penalization under the Leniency Program," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1938-:d:151642
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    References listed on IDEAS

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    1. Anne B. Koehler & Emily S. Murphree, 1988. "A Comparison of the Akaike and Schwarz Criteria for Selecting Model Order," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(2), pages 187-195, June.
    2. Joseph E. Harrington, 2008. "Optimal Corporate Leniency Programs," Journal of Industrial Economics, Wiley Blackwell, vol. 56(2), pages 215-246, June.
    3. Peter L. Ormosi, 2014. "A Tip Of The Iceberg? The Probability Of Catching Cartels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 549-566, June.
    4. Dickey, David A & Rossana, Robert J, 1994. "Cointegrated Time Series: A Guide to Estimation and Hypothesis Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 325-353, August.
    5. James W. Friedman, 1971. "A Non-cooperative Equilibrium for Supergames," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 38(1), pages 1-12.
    6. Bryant, Peter G & Eckard, E Woodrow, Jr, 1991. "Price Fixing: The Probability of Getting Caught," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 531-536, August.
    7. Emmanuel Combe & Constance Monnier & Renaud Legal, 2008. "Cartels: The Probability of Getting Caught in the European Union," Bruges European Economic Research Papers 12, European Economic Studies Department, College of Europe.
    8. Iwan Bos & Joseph E. Harrington, Jr, 2010. "Endogenous cartel formation with heterogeneous firms," RAND Journal of Economics, RAND Corporation, vol. 41(1), pages 92-117, March.
    9. Nathan H. Miller, 2009. "Strategic Leniency and Cartel Enforcement," American Economic Review, American Economic Association, vol. 99(3), pages 750-768, June.
    10. Brenner, Steffen, 2009. "An empirical study of the European corporate leniency program," International Journal of Industrial Organization, Elsevier, vol. 27(6), pages 639-645, November.
    11. Zhou, Jun, 2011. "Evaluating Leniency with Missing Information on Undetected Cartels: Exploring Time-Varying Policy Impacts on Cartel Duration," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 353, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    12. Joseph E. Harrington & Myong-Hun Chang, 2009. "Modeling the Birth and Death of Cartels with an Application to Evaluating Competition Policy," Journal of the European Economic Association, MIT Press, vol. 7(6), pages 1400-1435, December.
    13. Christopher A. Sims, 1982. "Policy Analysis with Econometric Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 107-164.
    14. Koop, Gary & Poirier, Dale J., 1993. "Bayesian analysis of logit models using natural conjugate priors," Journal of Econometrics, Elsevier, vol. 56(3), pages 323-340, April.
    15. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    16. Hinloopen, Jeroen, 2006. "Internal cartel stability with time-dependent detection probabilities," International Journal of Industrial Organization, Elsevier, vol. 24(6), pages 1213-1229, November.
    17. Myong-Hun Chang & Joseph E. Harrington, Jr., 2008. "The Impact of a Corporate Leniency Program on Antitrust Enforcement and Cartelization," Economics Working Paper Archive 548, The Johns Hopkins University,Department of Economics.
    18. da-Silva, C.Q. & Migon, H.S. & Correia, L.T., 2011. "Dynamic Bayesian beta models," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2074-2089, June.
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