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 …

different ways, depending on the geographical area of the household, the gender and the ethnic background of the children. We …

Using the French data set “2002 Employment Surveyâ€?, this paper aims to shed light on the nature of the gender … parametric estimates. The parametric decomposition of the gender wage gap is run following various assumptions on the ââ … specification errors. Secondly, the gender earnings gap is measured at the mean, thereby ignoring the differences in the form of the …

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 …

-to-business matching market with indirect network externalities. The intermediaries differ with regard to their ownership structure: an …