Matching problem in a multi-variate setting

Abstract

In this work we propose a model to study the matching problem in a setting where agent characteristics are multi-dimensional. We draw a parallel between matching problems and the adverse selection literature in order to characterize feasible matches with the incentive compatibility constraint. Our model also provide a natural ordering of the type spaces that is consistent with our theory, we use this order to find necessary conditions for positive assortative matching PAM.