Year: 2012
Type: preprint
Abstract: Two-sided matchings are an important theoretical tool used to model markets and social interactions. In many real life problems the utility of an agent is influenced not only by their own choices, but also by the choices that other agents make. Such an influence is called an externality. Whereas fully expressive representations of externalities in matchings require exponential space, in this paper we propose a compact model of externalities, in which the influence of a match on each agent is computed additively. In this framework, we analyze many-to-many and one-to-one matchings under neutral, optimistic, and pessimistic behaviour, and provide both computational hardness results and polynomial-time algorithms for computing stable outcomes.
Source: arXiv (Cornell University)
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
Award: G8459856093
OpenAlex ID: W1862586238