TY - GEN
T1 - How is Cooperation/collusion Sustained in Repeated Multimarket Contact with Observation Errors?
AU - Iwasaki, Atsushi
AU - Sekiguchi, Tadashi
AU - Yamamoto, Shun
AU - Yokoo, Makoto
N1 - Publisher Copyright:
Copyright © 2016, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - This paper analyzes repeated multimarket contact with observation errors where two players operate in multiple markets simultaneously. Multimarket contact has received much attention in economics, management, and so on. Despite vast empirical studies that examine whether multimarket contact fosters cooperation or collusion, little is theoretically known as to how players behave in an equilibrium when each player receives a noisy and different observation or signal indicating other firms' actions (private monitoring). To the best of our knowledge, we are the first to construct a strategy designed for multiple markets whose per-market equilibrium payoffs exceed one for a single market, in our setting. We first construct an entirely novel strategy whose behavior is specified by a non-linear function of the signal configurations. We then show that the per-market equilibrium payoff improves when the number of markets is sufficiently large.
AB - This paper analyzes repeated multimarket contact with observation errors where two players operate in multiple markets simultaneously. Multimarket contact has received much attention in economics, management, and so on. Despite vast empirical studies that examine whether multimarket contact fosters cooperation or collusion, little is theoretically known as to how players behave in an equilibrium when each player receives a noisy and different observation or signal indicating other firms' actions (private monitoring). To the best of our knowledge, we are the first to construct a strategy designed for multiple markets whose per-market equilibrium payoffs exceed one for a single market, in our setting. We first construct an entirely novel strategy whose behavior is specified by a non-linear function of the signal configurations. We then show that the per-market equilibrium payoff improves when the number of markets is sufficiently large.
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M3 - Conference contribution
AN - SCOPUS:85014271951
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 1369
EP - 1370
BT - AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
Y2 - 9 May 2016 through 13 May 2016
ER -