Polemis, Michael (2024): Are Cartels Forever? Global Evidence Using Quantile Regression Analysis.
Preview |
PDF
MPRA_paper_120534.pdf Download (678kB) | Preview |
Abstract
The longevity of cartels has been a highly contested topic among economists and managers, with numerous researchers arguing that cartels are inherently unstable and their endurance is usually short-lived. Understanding the main factors that influence a cartel duration is essential from a managerial point of view let alone the competition policy perspective. Despite having a large body of literature, there has been no systematic evaluation of the existing driving factors to determine the current understanding and identify potential paths for future research. The present paper employs quantile regression techniques thus allowing for a more thorough and precise depiction of the data in terms of estimations compared to the traditional OLS analysis. The empirical findings support that the number of cartelists imposes an asymmetric effect, reducing (increasing) the lifespan of the collusion only in the short (long) lived cartels. Operating internationally and having a third-party facilitator both lengthen cartels, but the magnitudes of these effects decline monotonically over the range of the distribution. Relative to price-fixing, bid-rigging lengthens cartels in the bottom 20% of the distribution but has no significant effect elsewhere. Finally, the prevalence of leniency programs appears to have no significant effect on cartel duration, except at the very bottom of the distribution where the effect is small in magnitude.
Item Type: | MPRA Paper |
---|---|
Original Title: | Are Cartels Forever? Global Evidence Using Quantile Regression Analysis |
Language: | English |
Keywords: | Collusion; Longevity; Cartelists; Sanctions; Quantiles |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C31 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions ; Social Interaction Models D - Microeconomics > D4 - Market Structure, Pricing, and Design > D43 - Oligopoly and Other Forms of Market Imperfection L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L13 - Oligopoly and Other Imperfect Markets L - Industrial Organization > L4 - Antitrust Issues and Policies > L41 - Monopolization ; Horizontal Anticompetitive Practices |
Item ID: | 120534 |
Depositing User: | Dr Michael Polemis |
Date Deposited: | 27 Mar 2024 15:03 |
Last Modified: | 27 Mar 2024 15:03 |
References: | Abrantes-Metz, Rosa M., J. Connor, and Metz, A. (2013). The Determinants of Cartel Duration.,SSRN: https://ssrn.com/abstract=2263782 or http://dx.doi.org/10.2139/ssrn.2263782 Andres, M., Bruttel, L., Friedrichsen, J. (2023). How communication makes the difference between a cartel and tacit collusion: A machine learning approach, European Economic Review, 152, 104331 Andres, M., Bruttel, L., Friedrichsen, J. (2021). ‘How do sanctions work? The choice between cartel formation and tacit collusion’, Beiträge zur Jahrestagung des Vereins für Socialpolitik 2021: Climate Economics, ZBW - Leibniz Information Centre for Economics, Kiel, Hamburg. Baer, W., Burdekin, R., & Sarkar, S. (2005). ‘Cartel duration and antitrust enforcement: Evidence from the United States, Europe, and Japan’, Journal of Law and Economics, 48, pp. 531–558. Bos, I., Davies, S., Harrington, J.E., Ormosi, P. (2018). “Does enforcement deter cartels? A tale of two tails”, International Journal of Industrial Organization, 59, 372-405 Buchinsky M. (1998). ‘Recent advances in quantile regression models’, Journal of Human Resources, 33(1), pp. 88–126. ____________ (1995). ‘Estimating the asymptotic covariance matrix for quantile regression models: A Monte Carlo study’, Journal of Econometrics, 68, pp. 303–338. Compte, O Jenny, F and Rey, P (2002), ‘Capacity Constraints, Mergers and Collusion, European Economic Review’, 46, pp. 1–29. Connor, J., 2006. Effectiveness of Sanctions on Modern International Cartels, Journal of Industry, Competition, and Trade 6: 195-223. Connor, J.M., (2013). Cartel Fine Severity and the European Commission: 2007-2011 (October 24, 2012). European Competition Law Review 34, 58-77. Corts, K. S., and Gilbert, R. J. (2002). ‘The impact of antitrust policy on cartel duration’, International Journal of Industrial Organization, 20, pp. 113–141. De, O. (2010). Analysis of Cartel Duration: Evidence from EC Prosecuted Cartels, International Journal of the Economics of Business, 17, pp. 33-65 Dick, A. (1996). ‘When Are Cartels Stable Contracts?’, Journal of Law and Economics, 39(1), pp. 241-83. Distante, R., Petrella, I., and Santoro, E. (2018). ‘Gibrat’s law and quantile regressions: An application to firm growth’, Economics Letters, 164, pp. 5–9. Dunne, N. (2020). ‘Characterizing Hard Core Cartels Under Article 101 TFEU’, The Antitrust Bulletin, 65(3), pp. 376–400. Garz, M., and Maaß, S. (2021). ‘Cartels in the European Union, antitrust action, and public attention’, Journal of Economic Behavior and Organization, 186, pp. 533-547. Harrington, J.E., and Wei, Y. (2017). ‘What Can the Duration of Discovered Cartels Tell Us About the Duration of All Cartels?’, The Economic Journal, 127(604), pp. 1977-2005. Harrington, J., (2006a). ‘How do cartels operate?’ Foundations and Trends in Microeconomics, 2(1), pp. 1-105 _____________ (2006b). ‘Behavioral Screening and the Detection of Cartels’. EUIRSCAS/ EU Competition 2006 – Proceedings. _____________ (1991). ‘The Determination of Price and Output Quotas in a Heterogeneous Cartel’, International Economic Review, 32, pp. 767–792 ______________ (1989). ‘Collusion Among Asymmetric Firms: The Case of Different Discount Factors’, International Journal of Industrial Organization, pp. 289–307 Hirsch, B. T., and Yoon, Y. (1985). ‘Duration of cartels’, Journal of Industrial Economics, 33, pp. 321–337. Katsoulacos, Y., Motchenkova, E., and Ulph, D. (2020). ‘Combining cartel penalties and private damage actions: The impact on cartel prices’, International Journal of Industrial Organization, 73, 102604, https://doi.org/10.1016/j.ijindorg.2020.102604. Kim, J. and A. Parkhe (2009). ‘Competing and cooperating similarity in global strategic alliances: an exploratory examination’, British Journal of Management, 20, pp. 363–376. Koenker R. (2005). Quantile regression. New York: Cambridge University Press. Kühn, K-U (2004), ‘The Coordinated Effects of Mergers in Differentiated Product Markets’, John M Olin Center for Law and Economics, Working Paper Series, paper 34 Levenstein, M., and Suslow, V. (2016). ‘Price Fixing Hits Home: An Empirical Study of US Price-Fixing Conspiracies’, Review of Industrial Organization, 48(4), pp. 361-379. ______________ (2011). ‘Breaking Up Is Hard to Do: Determinants of Cartel Duration’, Journal of Law and Economics, 54(2), pp. 455-492. ______________ (2006). ‘What Determines Cartel Success? Journal of Economic Literature’, 44(1), pp. 43-95. Llorente-Saguer, A., Zultan, R. (2017). Collusion and information revelation in auctions, European Economic Review, 95, pp. 84-102. Miller, D.J. and Connor, J.M., (2010). ‘The Predictability of Global Cartel Fines’. Concurrences: Review of Competition Law, 2. Miller, Nathan H., (2009). ‘Strategic Leniency and Cartel Enforcement’. The American Economic Review 99 (3), 750–768. Motta, M. (2004). Competition policy: theory and practice. Cambridge University Press. OECD, (2012). ‘Recommendation of the Council on OECD Legal Instruments Fighting Bid Rigging in Public Procurement’, Organization for Economic Co-operation and Development. Paris. Peng, T.-J.A., Pike, S., Yang, J.C.-H. and Roos, G. (2012), ‘Is Cooperation with Competitors a Good Idea?’, British Journal of Management, 23, pp. 532-560. Posner, R. (1970). ‘A Statistical Study of Antitrust Enforcement’, Journal of Law and Economics, 13(2), pp. 365-419. Powell J. (1986). ‘Censored regression quantiles’, Journal of Econometrics, 32, pp. 143–155. Ritala, P. (2012), ‘Coopetition Strategy – When is it Successful? Empirical Evidence on Innovation and Market Performance’, British Journal of Management, 23, pp. 307-324. Rob, R. (2003). ‘Cartel longevity: An economic analysis’, The Journal of Economic Perspectives, 17(1), pp. 127-144. Rothschild, R (1999), ‘Cartel Stability when Costs are Heterogeneous’, International Journal of Industrial Organization, 17, pp. 717–734. Smith., A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations Smuda, F., Bougette, P., and Huschelrath, K., (2015). ‘Determinants of the Duration of European Appellate Court Proceedings in Cartel Cases’, Journal of Common Market Studies, 53(6), pp. 1352–1369. Suslow, V. (2005). Cartel contract duration: empirical evidence from inter-war international cartels, Industrial and Corporate Change, 14(5), pp. 705–744. Symeonidis, George, (2002). ‘Cartel stability with multiproduct firms’, International Journal of Industrial Organization, 20(3), pp. 339-352. González, T.A., Schmid, M., and Yermack D. (2019) Does Price Fixing Benefit Corporate Managers?. Management Science 65(10):4813-4840. Vasconcelos, H (2005). ‘Tacit collusion, cost asymmetries, and mergers’, RAND Journal of Economics, 36, pp. 39–62 Veljanovski, C. (2023). An Empirical Assessment of the European Commission’s Cartel Prosecutions, 2010–2019. The Antitrust Bulletin, 0(0). https://doi.org/10.1177/0003603X231180252 Wang, T., Chen, Y., and Pappas, V. (2009). ‘Cartel duration and antitrust enforcement: Evidence from US, European and Japanese markets’, Journal of Competition Law and Economics, 5, pp. 353–379. Zhou, J., (2012). Endogenous Lysine Strategy Profile and Cartel Duration: An Instrumental Variables Approach, Discussion Paper 2012-009, Tilburg University, Tilburg Law, and Economic Center. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/120534 |