×

Communication and market sharing: an experiment on the exchange of soft and hard information. (English) Zbl 1468.91078

Summary: We study the role of communication in collusive market sharing. In a series of Cournot oligopoly experiments with multiple markets, we vary the information that firms can exchange: hard information – verifiable information about past conduct – and soft information – unbinding information about future conduct. We find that the effect of communication on the firms’ ability to collude depends on the type of information available: Whereas market prices increase only slightly with hard information, the price raise due to soft information is substantial. Our results point to the types and contents of communication that should be of particular concern to antitrust authorities.

MSC:

91B54 Special types of economic markets (including Cournot, Bertrand)
91A28 Signaling and communication in game theory
91A90 Experimental studies

References:

[1] Abreu, D., “On the Theory of Infinitely Repeated Games with Discounting,” Econometrica56 (1988), 383-96. · Zbl 0637.90108
[2] Abreu, D., D.Pearce, and E.Stacchetti, “Optimal Cartel Equilibria with Imperfect Monitoring,” Journal of Economic Theory39 (1986), 251-69. · Zbl 0606.90019
[3] Albæk, S., P.Møllgaard, and P. B.Overgaard, “Government‐Assisted Oligopoly Coordination? A Concrete Case,” Journal of Industrial Economics45 (1997), 429-43.
[4] Altavilla, C., L.Luini, and P.Sbriglia, “Social Learning in Market Games,” Journal of Economic Behavior & Organization61 (2006), 632-52.
[5] Andersson, O., and E.Wengström, “Do Antitrust Laws Facilitate Collusion? Experimental Evidence on Costly Communication in Duopolies,” Scandinavian Journal of Economics109 (2007), 321-39.
[6] Aoyagi, M., V.Bhaskar, and G. R.Fréchette, “The Impact of Monitoring in Infinitely Repeated Games: Perfect, Public, and Private,” American Economic Journal: Microeconomics11 (2019), 1-43.
[7] Aoyagi, M., and G. R.Fréchette, “Collusion as Public Monitoring Becomes Noisy: Experimental Evidence,” Journal of Economic Theory144 (2009), 1135-65. · Zbl 1159.91336
[8] Belleflamme, P., and F.Bloch, “Market Sharing Agreements and Collusive Networks,” International Economic Review45 (2004), 387-411.
[9] Belleflamme, P., and F.Bloch, “Sustainable Collusion on Separate Markets,” Economics letters99 (2008), 384-86. · Zbl 1255.91198
[10] Bernheim, B. D., and M. D.Whinston, “Multimarket Contact and Collusive Behavior,” RAND Journal of Economics21 (1990), 1-26.
[11] Bhaskarabhatla, A., C.Chatterjee, and B.Karreman, “Hit Where It Hurts: Cartel Policing Using Targeted Sales and Supply Embargoes,” Journal of Law and Economics59 (2016), 805-46.
[12] Bock, O., I.Baetge, and A.Nicklisch, “hroot: Hamburg Registration and Organization Online Tool,” European Economic Review71 (2014), 117-20.
[13] Bond, E. W., and C.Syropoulos, “Trade Costs and Multimarket Collusion,” RAND Journal of Economics39 (2008), 1080-1104.
[14] Byford, M. C., and J. S.Gans, “Collusion at the Extensive Margin,” International Journal of Industrial Organization37 (2014), 75-83.
[15] Byrne, D. P., and N.De Roos, “Learning to Coordinate: A Study in Retail Gasoline,” American Economic Review109 (2019), 591-619.
[16] Cason, T. N., “Cheap Talk Price Signaling in Laboratory Markets,” Information Economics and Policy7 (1995), 183-204.
[17] Cohen, J., “A Coefficient of Agreement for Nominal Scales,” Educational and Psychological Measurement20 (1960), 37-46.
[18] Colonescu, C., and N.Schmitt, “Market Segmentation, Market Integration, and Tacit Collusion,” Review of International Economics11 (2003), 175-92.
[19] Cooper, D. J., and K.‐U.Kühn, “Communication, Renegotiation and the Scope for Collusion,” American Economic Journal: Microeconomics6 (2014), 247-78.
[20] Dal, B, ó, P.,“Cooperation under the Shadow of the Future: Experimental Evidence from Infinitely Repeated Games,” American Economic Review95 (2005), 1591-1604.
[21] Dal, Bó, P., and G. R.Fréchette, “On the Determinants of Cooperation in Infinitely Repeated Games: A Survey,” Journal of Economic Literature56 (2018), 60-114.
[22] Daughety, A. F., and R.Forsythe, “The Effects of Industry‐Wide Price Regulation on Industrial Organization,” Journal of Law, Economics, & Organization3 (1987), 397-434.
[23] Davis, D. D., and C. A.Holt, “Conspiracies and Secret Discounts in Laboratory Markets,” Economic Journal108 (1998), 736-56.
[24] Dijkstra, P. T., M. A.Haan, and L.Schoonbeek, “Leniency Programs and the Design of Antitrust: Experimental Evidence with Free‐Form Communication” (2017).
[25] Edlin, A., C.Roux, A.Schmutzler, and C.Thöni, “Hunting Unicorns? Experimental Evidence on Exclusionary Pricing Policies,” Journal of Law and Economics62 (2019), 457-84.
[26] Farrell, J., “Cheap Talk, Coordination, and Entry,” RAND Journal of Economics18 (1987), 34-9.
[27] Farrell, J., and M.Rabin, “Cheap Talk,” Journal of Economic Perspectives10 (1996), 103-18.
[28] Fischbacher, U., “z‐Tree: urich Toolbox for Readymade Economic Experiments,” Experimental Economics10 (2007), 171-78.
[29] Fischer, C., and H.‐T.Normann, “Collusion and Bargaining in Asymmetric Cournot Duopoly—An Experiment,” European Economic Review111 (2019), 360-79.
[30] Fonseca, M. A., Y.Li, and H.‐T.Normann, “Why Factors Facilitating Collusion May Not Predict Cartel Occurrence-Experimental Evidence,” Southern Economic Journal85 (2018), 255-75.
[31] Fonseca, M. A., and H.‐T.Normann, “Explicit vs. Tacit Collusion: The Impact of Communication in Oligopoly Experiments,” European Economic Review56 (2012), 1759-72.
[32] Fonseca, M. A., and H.‐T.Normann, “Endogenous Cartel Formation: Experimental Evidence,” Economics Letters125 (2014), 223-25.
[33] Fréchette, G. R., “Session‐Effects in the Laboratory,” Experimental Economics15 (2012), 485-98.
[34] Friedman, J. W., “A Non‐Cooperative Equilibrium for Supergames,” Review of Economic Studies38 (1971), 1-12. · Zbl 0274.90072
[35] Gächter, S., C.Thöni, and J.‐R.Tyran, “Cournot Competition and Hit‐and‐Run Entry and Exit in a Teaching Experiment,” Journal of Economic Education37 (2006), 418-30.
[36] Genesove, D., and W. P.Mullin, “Rules, Communication, and Collusion: Narrative Evidence from the Sugar Institute Case,” American Economic Review91 (2001), 379-98.
[37] Gomez‐Martinez, F., S.Onderstal, and J.Sonnemans, “Firm‐Specific Information and Explicit Collusion in Experimental Oligopolies,” European Economic Review82 (2016), 132-41.
[38] Green, E. J., and R. H.Porter, “Noncooperative Collusion under Imperfect Price Information,” Econometrica52 (1984), 87-100. · Zbl 0526.90013
[39] Harrington, J. E., “How Do Cartels Operate?” Foundations and Trends in Microeconomics2 (2006), 1-105.
[40] Harrington, J. E., R. H.Gonzalez, and P.Kujal, “The Relative Efficacy of Price Announcements and Express Communication for Collusion: Experimental Findings,” Journal of Economic Behavior & Organization128 (2016), 251-64.
[41] Houser, D., and E.Xiao, “Classification of Natural Language Messages Using a Coordination Game,” Experimental Economics14 (2011), 1-14.
[42] Huck, S., H.‐T.Normann, and J.Oechssler, “Learning in Cournot Oligopoly: An Experiment,” Economic Journal109 (1999), 80-95.
[43] Huck, S., H.‐T.Normann, and J.Oechssler, “Does Information about Competitors” Actions Increase or Decrease Competition in Experimental Oligopoly Markets?”International Journal of Industrial Organization 18 (2000), 39-57.
[44] Huck, S., H.‐T.Normann, and J.Oechssler, “Two Are Few and Four Are Many: number Effects in Experimental Oligopolies,” Journal of Economic Behavior & Organization53 (2004), 435-46.
[45] Hyytinen, A., F.Steen, and O.Toivanen, “An Anatomy of Cartel Contracts,” Economic Journal129 (2019), 2155-91.
[46] Isaac, M. R., and C. R.Plott, “Price Controls and the Behavior of Auction Markets: An Experimental Examination,” American Economic Review71 (1981), 448-59.
[47] Kandori, M., “The Use of Information in Repeated Games with Imperfect Monitoring,” Review of Economic Studies59 (1992), 581-93. · Zbl 0763.90110
[48] Kimbrough, E. O., V. L.Smith, and B. J.Wilson, “Historical Property Rights, Sociality, and the Emergence of Impersonal Exchange in Long‐Distance Trade,” American Economic Review98 (2008), 1009-39.
[49] Knittel, C. R., and V.Stango, “Price Ceilings as Focal Points for Tacit Collusion: Evidence from Credit Cards,” American Economic Review93 (2003), 1703-29.
[50] Kühn, K.‐U.“Fighting Collusion by Regulating Communication Between Firms,” Economic Policy16 (2001), 168-204.
[51] Kühn, K.‐U., and X.Vives, Information Exchanges Among Firms and Their Impact on Competition (Luxemburg: European Communities, 1995).
[52] Landis, J. R., and G. G.Koch, “The Measurement of Observer Agreement for Categorical Data,” Biometrics33 (1977), 159-74. · Zbl 0351.62039
[53] Levenstein, M. C., and V. Y.Suslow, “What Determines Cartel Success?” Journal of Economic Literature44 (2006), 43-95.
[54] Levenstein, M. C., and V. Y.Suslow, “International Cartels,” Issues in Competition Law and Policy2 (2008), 1107-26.
[55] Lewis, M. S., “Odd Prices at Retail Gasoline Stations: Focal Point Pricing and Tacit Collusion,” Journal of Economics & Management Strategy24 (2015), 664-85.
[56] Lommerud, K. E., and L.Sørgard, “Trade Liberalization and Cartel Stability,” Review of International Economics9 (2001), 343-55.
[57] Motta, M., “Cartels in the European Union: economics, law, practice,” in X.Vives (ed.), ed., Competition Policy in the EU: Fifty Years on from the Treaty of Rome (Oxford, UK: Oxford University Press, 2009), 95-134.
[58] Normann, H.‐T., J.Rösch, and L. M.Schultz, “Do Buyer Groups Facilitate Collusion?” Journal of Economic Behavior & Organization109 (2005), 72-84.
[59] Normann, H.‐T., and B.Wallace, “The Impact of the Termination Rule on Cooperation in a Prisoner”s Dilemma Experiment,” International Journal of Game Theory41 (2012), 707-18. · Zbl 1259.91019
[60] Offerman, T., J.Potters, and J.Sonnemans, “Imitation and Belief Learning in an Oligopoly Experiment,” Review of Economic Studies69 (2002), 973-97. · Zbl 1046.91051
[61] Posner, R. A., “A Statistical Study of Antitrust Enforcement,” Journal of Law and Economics13 (1970), 365-419.
[62] Potters, J., “Transparency About Past, Present, Future Conduct. Experimental Evidence on the Impact of Competitiveness,” in J.Hinloopen (ed.) and H.‐T.Normann (ed.), eds., Experiments and Competition Policy (Cambridge, MA: Cambridge University Press, 2009), 81-104.
[63] Proctor, A. J., “Tacit Collusion Indicators in Merger Control under Varied Focal Points,” Journal of Competition Law and Economics10 (2014), 959-987.
[64] Roux, C., L.Santos‐Pinto, and C.Thöni, “Home Bias in Multimarket Cournot Games,” European Economic Review89 (2016), 361-371.
[65] Roux, C., and C.Thöni, “Collusion Among Many Firms: The Disciplinary Power of Targeted Punishment,” Journal of Economic Behavior & Organization116 (2015), 83-93.
[66] Schelling, T. C., The Strategy of Conflict (Cambridge, MA: Harvard University Press, 1960).
[67] Scherer, F. M., “Focal Point Pricing and Conscious Parallelism,” Antitrust Bulletin12 (1967), 495-504.
[68] Selten, R., and R.Stoecker, “End Behavior in Sequences of Finite Prisoner”s Dilemma Supergames: A Learning Theory Approach,” Journal of Economic Behavior & Organization7 (1986), 47-70.
[69] Smith, V. L., and A. W.Williams, “On Nonbinding Price Controls in a Competitive Market,” American Economic Review71 (1981), 467-74.
[70] Stigler, G., “A Theory of Oligopoly,” Journal of Political Economy72 (1964), 44-61.
[71] Vega‐Redondo, F., “The Evolution of Walrasian Behavior,” Econometrica65 (1997), 375-84. · Zbl 0874.90049
[72] Verboven, F., “Localized Competition, Multimarket Operation, and Collusive Behavior,” International Economic Review39 (1998), 371-98.
[73] Waichman, I., T.Requate, and C. K.Siang, “Communication in Cournot Competition: An Experimental Study,” Journal of Economic Psychology42 (2014), 1-16.
[74] Whinston, M. D., Lectures on Antitrust Economics (Cambridge, MA: MIT Press, 2008).
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.