of regression functions and matching estimators based on kernel methods with mixed categorical and continuous data. A …-neighbor matching on kernel-based propensity score with mixed categorical and continuous data produces a closer approximation to the … as a promising method for solving the evaluation problem. When restricted to sample observations in the neighborhood of …

random matching model with endogenous heterogeneity. I analyze the efficiency properties of the equilibrium and find that in …

I develop a matching model with heterogeneous workers, firms, and worker-firm matches, and apply it to longitudinal … truncated. I test predictions from the matching model using data from the Longitudinal Employer-Household Dynamics (LEHD … structures, including the martingale hypothesis implied by the learning process. I find considerable support for the matching …

are available, the matching probability between jobs and workers is higher. Workers incur search cost if they actively … search for for jobs. A higher matching probability makes searching for jobs more desirable. Unemployed workers accumulate in …

We develop a model in which firms set their salary levels before matching with workers. Wages fall relative to any … recent antitrust case against the National Residency Matching Program in light of our results …