TY - GEN
T1 - Computing a subgame perfect equilibrium of a sequential matching game
AU - Kawase, Yasushi
AU - Yamaguchi, Yutaro
AU - Yokoi, Yu
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/6/11
Y1 - 2018/6/11
N2 - We study a decentralized matching market in which each firm sequentially makes offers to potential workers. For each offer, the worker can choose "accept" or "reject," but the decision is irrevocable. The acceptance of an offer guarantees her job at the firm, but it may also eliminate chances of better offers from other firms in the future. We formulate this market as a perfect-information extensive-form game played by the workers. Each instance of this game has a unique subgame perfect equilibrium (SPE), which does not necessarily lead to a stable matching and has some perplexing properties. Our aim is to establish the complexity of computing the SPE, or more precisely, deciding whether each offer is accepted in the SPE. We show that the tractability of this problem drastically changes according to the number of potential offers related to each firm and worker. If each firm makes offers to at most two workers (or each worker receives offers from at most two firms), then the problem is efficiently solved by a variant of the deferred acceptance algorithm. In contrast, the problem is PSPACE-hard even if both firms and workers are related to at most three offers.
AB - We study a decentralized matching market in which each firm sequentially makes offers to potential workers. For each offer, the worker can choose "accept" or "reject," but the decision is irrevocable. The acceptance of an offer guarantees her job at the firm, but it may also eliminate chances of better offers from other firms in the future. We formulate this market as a perfect-information extensive-form game played by the workers. Each instance of this game has a unique subgame perfect equilibrium (SPE), which does not necessarily lead to a stable matching and has some perplexing properties. Our aim is to establish the complexity of computing the SPE, or more precisely, deciding whether each offer is accepted in the SPE. We show that the tractability of this problem drastically changes according to the number of potential offers related to each firm and worker. If each firm makes offers to at most two workers (or each worker receives offers from at most two firms), then the problem is efficiently solved by a variant of the deferred acceptance algorithm. In contrast, the problem is PSPACE-hard even if both firms and workers are related to at most three offers.
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U2 - 10.1145/3219166.3219200
DO - 10.1145/3219166.3219200
M3 - Conference contribution
AN - SCOPUS:85050072800
T3 - ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation
SP - 131
EP - 148
BT - ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation
PB - Association for Computing Machinery, Inc
T2 - 19th ACM Conference on Economics and Computation, EC 2018
Y2 - 18 June 2018 through 22 June 2018
ER -