in such settings. Our approach generalizes regression discontinuity designs to allow for multiple treatments and multiple … public high school match illustrates the latter, using test scores, grades, and interviews to rank applicants to screened …

match individuals to firms using a deferred-acceptance algorithm, and show how this allows us to identify heterogeneous … some assignment mechanisms can substantially outperform random matching in generating employment and income effects. These … results demonstrate the potential for matching algorithms to improve the design of field experiments. …

exploiting a large, sudden policy change using a regression discontinuity design. This approach effectively compares defendants …

the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that …

participation in terms of employment probabilities, earnings, and career prospects after the completion of training using a matching … approach. The data is from the German Socio-Economic Panel (GSOEP, 1990-1996). The GSOEP allows the researcher to observe …

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …

It is standard practice in applied work to rely on linear least squares regression to estimate the effect of a binary … variable ("treatment") on some outcome of interest. In this paper I study the interpretation of the regression estimand when … regression of outcome on treatment, the propensity score, and their interaction; third, calculate a weighted average of these two …