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How Much Do Cartels Overcharge?

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  • Boyer, Marcel
  • Kotchoni, Rachidi

Abstract

The estimation of cartel overcharges lies at the heart of antitrust policy on cartel prosecution as it constitutes a key element in the determination of fines. Connor and Lande (2008) conducted a survey of cartels and found a mean overcharge estimate in the range of 31% to 49%. By examining more sources, Connor (2010) finds a mean of 50.4% for successful cartels. However, the data used in those studies are estimates obtained from different methodologies, sources and contexts rather than from direct observations. Therefore, these data are subject to model error, estimation error, endogeneity bias, and publication bias. An examination of the Connor database reveals that the universe of overcharge estimate is asymmetric, heterogenous and contains a number of influential observations. Beside the fact that overcharge estimates are potentially biased, fitting a linear regression model to the data without providing a carefull treatment of the problems raised above may produce distorted results. We conduct a meta-analysis of cartel overcharge estimates in the spirit of Connor and Bolotova (2006) while providing a sound treatment of these matters. We find bias-corrected mean and median overcharge estimates of 15.47% and 16.01%. Clearly, our results have significant antitrust policy implications.

Suggested Citation

  • Boyer, Marcel & Kotchoni, Rachidi, 2014. "How Much Do Cartels Overcharge?," TSE Working Papers 14-462, Toulouse School of Economics (TSE), revised Jul 2015.
  • Handle: RePEc:tse:wpaper:27872
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    Cited by:

    1. Marcel Boyer & Thomas W. Ross & Ralph A. Winter, 2017. "The rise of economics in competition policy: A Canadian perspective," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1489-1524, December.
    2. Flavien Moreau & Ludovic Panon, 2023. "How costly are cartels?," Temi di discussione (Economic working papers) 1413, Bank of Italy, Economic Research and International Relations Area.
    3. Yannis Katsoulacos & Evgenia Motchenkova & David Ulph, 2020. "Penalising on the Basis of the Severity of the Offence: A Sophisticated Revenue-Based Cartel Penalty," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(3), pages 627-646, November.
    4. Tanja Artiga González & Markus Schmid & David Yermack, 2019. "Does Price Fixing Benefit Corporate Managers?," Management Science, INFORMS, vol. 65(10), pages 4813-4840, October.
    5. Allain, Marie-Laure & Boyer, Marcel & Kotchoni, Rachidi & Ponssard, Jean-Pierre, 2015. "Are cartel fines optimal? Theory and evidence from the European Union," International Review of Law and Economics, Elsevier, vol. 42(C), pages 38-47.
    6. Marcel Boyer, 2021. "The Retail Gasoline Price-Fixing Cartel in Québec," CIRANO Working Papers 2021s-06, CIRANO.
    7. Katsoulacos, Yannis & Motchenkova, Evgenia & Ulph, David, 2015. "Penalizing cartels: The case for basing penalties on price overcharge," International Journal of Industrial Organization, Elsevier, vol. 42(C), pages 70-80.
    8. Holler, Emanuel & Rickert, Dennis, 2022. "How resale price maintenance and loss leading affect upstream cartel stability: Anatomy of a coffee cartel," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    9. Bos, Iwan & Davies, Stephen & Harrington, Joseph E. & Ormosi, Peter L., 2018. "Does enforcement deter cartels? A tale of two tails," International Journal of Industrial Organization, Elsevier, vol. 59(C), pages 372-405.
    10. Marcel Boyer & Anne Catherine Faye & Rachidi Kotchoni, 2017. "Challenges and Pitfalls in Cartel Policy and Fining," CIRANO Working Papers 2017s-20, CIRANO.
    11. Matthias Firgo & Agnes Kügler, 2014. "Auswirkung der Verbundbildung auf die Preise in österreichischen Skigebieten," WIFO Monatsberichte (monthly reports), WIFO, vol. 87(12), pages 851-862, December.
    12. Marcel Boyer & Anne Catherine Faye & Éric Gravel & Rachidi Kotchoni, 2019. "Guiding Principles in Setting Cartel Sanctions (The Working Paper Version)," CIRANO Working Papers 2019s-18, CIRANO.
    13. Stephen Davies & Franco Mariuzzo & Peter L. Ormosi, 2018. "Quantifying The Deterrent Effect Of Anticartel Enforcement," Economic Inquiry, Western Economic Association International, vol. 56(4), pages 1933-1949, October.
    14. Ricardo Carvalho Lima & Guilherme Mendes Resende, 2021. "Using the Moran’s I to detect bid rigging in Brazilian procurement auctions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 237-254, April.
    15. John M. Connor & Robert H. Lande, 2017. "Comment on “The Empirical Basis for Antitrust: Cartels, Mergers, and Remedies”," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 24(3), pages 329-338, September.
    16. Symeonidis, George, 2018. "Collusion, profitability and welfare: Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 530-545.
    17. World Bank Group, 2016. "South Africa Economic Update, February 2016," World Bank Publications - Reports 23762, The World Bank Group.
    18. Georg Clemens & Holger A. Rau, 2019. "Do discriminatory leniency policies fight hard‐core cartels?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(2), pages 336-354, April.
    19. Ran Jing & Jiong Gong & Fang Yi, 2020. "Antitrust Fines: Experiences from China," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(1), pages 167-187, August.
    20. George Symeonidis, 2024. "Unprofitable Cartels: Evidence from a Natural Experiment in the UK," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 64(3), pages 421-447, May.
    21. W. Benedikt Schmal, 2022. "From Rules to Regs: A Structural Topic Model of Collusion Research," Papers 2210.02957, arXiv.org.
    22. Marcel Boyer & Rachidi Kotchoni, 2015. "How Much Do Cartel Overcharge? (The "Working Paper" Version)," CIRANO Working Papers 2015s-37, CIRANO.

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    Keywords

    Antitrust; Cartel overcharges; Heckman; Heckit; Kullback-Leibler divergence; Meta-analysis;
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