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) …

Recentered influence functions (RIFs) are statistical tools popularized by, Econometrica 77:
953–973) for analyzing unconditional partial effects on quantiles in a regression analysis …

Counterfactual distributions are important ingredients for policy analysis and decomposition
analysis in empirical economics. In this article, we develop modeling and inference tools for …

When faced with sequential decision-making problems, it is often useful to be able to predict
what would happen if decisions were made using a new policy. Those predictions must …

This paper estimates the effect of the Maastricht treaty's fiscal criterion on the distribution of
EU countries' general government deficits. Using a treatment effects approach, we find that …

This paper considers identification and estimation of the Quantile Treatment Effect on the
Treated (QTT) under a straightforward distributional extension of the most commonly …

In this paper we study doubly robust estimators of various average and quantile treatment
effects under unconfoundedness; we also consider an application to a setting with an …

This book offers an up-to-date, comprehensive coverage of stochastic dominance and its
related concepts in a unified framework. A method for ordering probability distributions …

This paper presents estimators of distributional impacts of interventions when selection to
the program is based on observable characteristics. Distributional impacts are calculated as …

This paper examines the efficient estimation of partially identified models defined by moment
inequalities that are convex in the parameter of interest. In such a setting, the identified set is …