Title
Convergence of the Core in Assignment Markets
Abstract
AbstractWe consider a two-sided assignment market with agent types and a stochastic structure, similar to models used in empirical studies. We characterize the size of the core in such markets. Each agent has a randomly drawn productivity with respect to each type of agent on the other side. The value generated from a match between a pair of agents is the sum of the two productivity terms, each of which depends only on the type but not the identity of one of the agents, and a third deterministic term driven by the pair of types. We prove, under reasonable assumptions, that when the number of agent types is kept fixed, the relative size of the core vanishes rapidly as the number of agents grows. Numerical experiments confirm that the core is typically small. Our results provide justification for the typical assumption of a unique core outcome in such markets, which is close to a limit point. Further, our results suggest that, given the market composition, wages are almost uniquely determined in equilibrium.The e-companion is available at https://doi.org/10.1287/opre.2017.1691.
Year
DOI
Venue
2018
10.1287/opre.2017.1691
Periodicals
Keywords
Field
DocType
assignment markets,matching,transferable utility,core,convergence,uniqueness of equilibrium,wages,stochastic model
Convergence (routing),Mathematical optimization,Stochastic modelling,Transferable utility,Limit point,Empirical research,Mathematics
Journal
Volume
Issue
ISSN
66
3
0030-364X
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Yash Kanoria1346.42
Daniela Saban2317.84
Jay Sethuraman343942.32