Note on solving one-to-one matching models with linear transferable utility
Esben Scrivers Andersen

TL;DR
This paper develops a fixed-point approach to solve one-to-one matching models with transferable utility, proving convergence under certain conditions, which ensures reliable computation of equilibrium transfers.
Contribution
It introduces a contraction mapping framework for equilibrium transfers in matching models with linear transferable utility, guaranteeing convergence of fixed-point iterations.
Findings
Derived a system of fixed-point equations for equilibrium transfers.
Proved that the system is a contraction under bounded substitution.
Fixed-point iterations converge to a unique equilibrium transfer distribution.
Abstract
We derive a system of fixed-point equations for the equilibrium transfers in a class of one-to-one matching models with linear transferable utility. We then show that, when the degree of substitution between alternatives is bounded from above, the derived system of equations constitutes a contraction mapping. As a result, fixed-point iterations are guaranteed to converge to the unique distribution of equilibrium transfers.
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Taxonomy
TopicsGame Theory and Voting Systems · Statistical Methods and Inference · Markov Chains and Monte Carlo Methods
