Regulation of Algorithmic Collusion
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- Foster, Dean P. & Vohra, Rakesh V., 1997. "Calibrated Learning and Correlated Equilibrium," Games and Economic Behavior, Elsevier, vol. 21(1-2), pages 40-55, October.
- 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.
- Gautier, Axel & Ittoo, Ashwin & Van Cleynenbreugel, Pieter, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," LIDAM Reprints CORE 3138, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Sylvain Chassang & Juan Ortner, 2023. "Regulating Collusion," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 177-204, September.
- Aumann, Robert J., 1974.
"Subjectivity and correlation in randomized strategies,"
Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 67-96, March.
- AUMANN, Robert J., 1974. "Subjectivity and correlation in randomized strategies," LIDAM Reprints CORE 167, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- R. Aumann, 2010. "Subjectivity and Correlation in Randomized Strategies," Levine's Working Paper Archive 389, David K. Levine.
- Joseph E. Harrington, 2022. "The Effect of Outsourcing Pricing Algorithms on Market Competition," Management Science, INFORMS, vol. 68(9), pages 6889-6906, September.
- Timo Klein, 2021. "Autonomous algorithmic collusion: Q‐learning under sequential pricing," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 538-558, September.
- William E. Kovacic & Carl Shapiro, 2000.
"Antitrust Policy: A Century of Economic and Legal Thinking,"
Journal of Economic Perspectives, American Economic Association, vol. 14(1), pages 43-60, Winter.
- Kovacic, William E. & Shapiro, Carl, 1999. "Antitrust Policy: A Century of Economic and Legal Thinking," Competition Policy Center, Working Paper Series qt5zb4g387, Competition Policy Center, Institute for Business and Economic Research, UC Berkeley.
- William E. Kovacic & Carl Shapiro, 2003. "Antitrust Policy: A Century of Economic and Legal Thinking," Law and Economics 0303006, University Library of Munich, Germany.
- Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2020.
"Artificial Intelligence, Algorithmic Pricing, and Collusion,"
American Economic Review, American Economic Association, vol. 110(10), pages 3267-3297, October.
- Calzolari, Giacomo & Calvano, Emilio & Denicolo, Vincenzo & Pastorello, Sergio, 2018. "Artificial intelligence, algorithmic pricing and collusion," CEPR Discussion Papers 13405, C.E.P.R. Discussion Papers.
- Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020.
"Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market,"
Working Paper
1438, Economics Department, Queen's University.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," CESifo Working Paper Series 8521, CESifo.
- Benoit, Jean-Pierre & Krishna, Vijay, 1985. "Finitely Repeated Games," Econometrica, Econometric Society, vol. 53(4), pages 905-922, July.
- Joseph E Harrington, 2018. "Developing Competition Law For Collusion By Autonomous Artificial Agents," Journal of Competition Law and Economics, Oxford University Press, vol. 14(3), pages 331-363.
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This paper has been announced in the following NEP Reports:- NEP-COM-2024-03-04 (Industrial Competition)
- NEP-IND-2024-03-04 (Industrial Organization)
- NEP-REG-2024-03-04 (Regulation)
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