. We devise a machine learning-based matching system that identifies users with high expected value and provides them the … mechanisms that drive the impact of the matching system …

matching function. One can easily choose a calibration to make the cyclical fluctuation in unemployment as large in the model … model as it is in the data. We show with a simple analytical calculation that in the standard job matching model, one cannot …

Federal Employment Agency and its internal placement-software. We use these data to estimate an enhanced matching function …

implements the full set of stable matchings in the existence of stability, and it ends up with Pareto Optimal matching in the …

We develop a theory of stability in many-to-many matching markets. We give conditions under which the setwise …

We consider a matching model in which individuals belonging to two populations (\textquotedblleft males … which few general results have previously been derived. We show that in this framework a stable matching always exists, it …

unique outcome, the worker-optimal matching. …

maximum matching can avoid this risk and enjoy higher payoffs than inessential players. Although the search for partners is …

study the assortative matching properties of the resulting assignment. The main insight is that in general it is optimal to … diversify the composition of the teams, ruling out positive assortative matching. This diversification leads to negative … assortative matching when teams consist of pairs of experts. And when experts' signals are conditionally independent, all teams …

A large class of two-sided matching models that include both transferable and non-transferable utility result in … positive assortative matching along a latent index. Data from matching markets, however, may not exhibit perfect assortativity … estimation using dependent data from a single large matching market. The nature of the dependence requires modification of …