paper-with-me

Papers

Nash implementation in a many-to-one matching market

2023-05-23 · Noelia Juarez, Paola B. Manasero, Jorge Oviedo

In a many-to-one matching market, we analyze the matching game induced by a stable rule when firms' choice function satisfy substitutability. We show that any stable rule implements the individually rational correspondence in Nash equilibrium when both sides of the market play strategically. Moreover, when only workers play strategically and firms' choice functions satisfy the law of aggregate demand, we show that the firm-optimal stable rule implements the stable correspondence in Nash equilibrium.

📄 PDF Abstract BibTeX arXiv:2305.13956

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Interviewing Matching in Random Markets

2023-05-18 · Maxwell Allman, Itai Ashlagi

In many centralized labor markets candidates interview with potential employers before matches are formed through a clearinghouse One prominent example is the market for medical residencies and fellowships, which in rece…

A Model of Market Making and Price Impact

2021-01-05 · Angad Singh

Traders constantly consider the price impact associated with changing their positions. This paper seeks to understand how price impact emerges from the quoting strategies of market makers. To this end, market making is m…

model

The Economic Analysis of the Common Pool Method through the HARA Utility Functions

2024-08-09 · Mu Lin, Di Zhang, Ben Chen, Hang Zheng

Water market is a contemporary marketplace for water trading and is deemed to one of the most efficient instruments to improve the social welfare. In modern water markets, the two widely used trading systems are an impro…

Thompson Sampling for Bandit Learning in Matching Markets

2022-04-26 · Fang Kong, Junming Yin, Shuai Li

The problem of two-sided matching markets has a wide range of real-world applications and has been extensively studied in the literature. A line of recent works have focused on the problem setting where the preferences o…

Multi-Armed BanditsThompson Sampling

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

2024-07-31 · S. Rasoul Etesami, R. Srikant

We consider the problem of learning stable matchings with unknown preferences in a decentralized and uncoordinated manner, where "decentralized" means that players make decisions individually without the influence of a c…