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An Approximate "Law of One Price" in Random Assignment Games

2014/04/24 by Avinatan Hassidim, Hassidim, Avinatan, Assaf Romm +1
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Economic theories and models #FOS: Computer and information sciences #Game Theory and Voting Systems #cs.GT

paper · pdf · doi:10.48550/arxiv.1404.6103

arxiv created 2014/04/24 · openalex publication_date 2014/04/24 · arxiv updated 2014/04/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Assignment games represent a tractable yet versatile model of two-sided markets with transfers. We study the likely properties of the core of randomly generated assignment games. If the joint productivities of every firm and worker are i.i.d bounded random variables, then with high probability all workers are paid roughly equal wages, and all firms make similar profits. This implies that core allocations vary significantly in balanced markets, but that there is core convergence in even slightly unbalanced markets. For the benchmark case of uniform distribution, we provide a tight bound for the workers' share of the surplus under the firm-optimal core allocation. We present simulation results suggesting that the phenomena analyzed appear even in medium-sized markets. Finally, we briefly discuss the effects of unbounded distributions and the ways in which they may affect wage dispersion.

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