This work attempts to synthetize existing research about the impact of Covid-19 school
closure on student achievement. It extends previous systematic reviews and meta-analyses …

The dynamic causal effect of an intervention on an outcome is of paramount interest to
applied macro-and microeconomics research. However, this question has been generally …

This article proposes doubly robust estimators for the average treatment effect on the treated
(ATT) in difference-in-differences (DID) research designs. In contrast to alternative DID …

In this article, we consider identification, estimation, and inference procedures for treatment
effect parameters using Difference-in-Differences (DiD) with (i) multiple time periods,(ii) …

The wild bootstrap was originally developed for regression models with heteroskedasticity of
unknown form. Over the past 30 years, it has been extended to models estimated by …

We conducted a field experiment aimed at increasing the percentage of women majoring in
economics. We exposed students enrolled in introductory classes to successful and …

Gender differences in task allocations may sustain vertical gender segregation in labor
markets. We examine the allocation of a task that everyone prefers be completed by …

School choice may lead to improvements in school productivity if parents' choices reward
effective schools and punish ineffective ones. This mechanism requires parents to choose …

We consider statistical inference for regression when data are grouped into clusters, with
regression model errors independent across clusters but correlated within clusters …

We develop new tools for estimating the causal effects of treatments or instruments that
combine multiple sources of variation according to a known formula. Examples include …