We investigate the finite sample properties of a large number of estimators for the average
treatment effect on the treated that are suitable when adjustment for observed covariates is …

Based on new, exceptionally informative and large German linked employer–employee
administrative data, we investigate the question whether the omission of important control …

Using a simulation design that is based on empirical data, a recent study by Huber et al.(J
Econom 175: 1–21, 2013) finds that distance-weighted radius matching with bias adjustment …

Policy Points In two respects, quality of care tends to be higher at major teaching hospitals:
process of care and long‐term survival of cancer patients following initial diagnosis. There is …

We discuss how regression discontinuity designs arise naturally in settings where firms
target marketing activity at consumers, and we illustrate how this aspect may be exploited for …

It is standard practice in applied work to study the effect of a binary variable (“treatment”) on
an outcome of interest using linear models with additive effects. In this paper I study the …

The advances in information and communications technology and the digitization of services
offer new ways to reach, engage with, and provide services to consumers. Recent advances …

In this paper I use the National Supported Work (NSW) data to examine the finite‐sample
performance of the Oaxaca–Blinder unexplained component as an estimator of the …

We investigate the finite sample properties of a large number of estimators for the average
treatment effect on the treated that are suitable when adjustment for observable covariates is …

We consider two recent suggestions for how to perform an empirically motivated Monte
Carlo study to help select a treatment effect estimator under unconfoundedness. We show …