What should researchers do when their baseline model is falsified? We recommend
reporting the set of parameters that are consistent with minimally nonfalsified models. We …

We consider the problem of assessing the effects of a treatment on duration outcomes using
data from a randomized evaluation with noncompliance. For such settings, we derive …

This book reviews recent approaches for partial identification of average treatment effects
with instrumental variables in the program evaluation literature, including Manski's bounds …

We consider identification and inference for the average treatment effect and heterogeneous
treatment effect conditional on observable covariates in the presence of unmeasured …

We analyze the causal effects of taking parental leave on the post-birth hourly wage
distribution of parental-leave-eligible mothers in Luxembourg. To deal with selection into …

Employing nonparametric bounds, we examine the effect of military service on incarceration
outcomes using the Vietnam draft lotteries as a possibly invalid instrumental variable for …

We propose a novel approach for causal mediation analysis based on changes-in-changes
assumptions restricting unobserved heterogeneity over time. This allows disentangling the …

Within the context of Luxembourg, we analyze the causal effect of parental leave take up on
post birth hourly wages of an important subpopulation of parental-leave-eligible mothers, ie …

This paper examines the causal effect of earning a GED or vocational degree on future illicit
drug use, employing random assignment into the United States' most comprehensive …

Page 1 Abstract This dissertation studies the issues of the heterogeneity of treatment effects. It
is composed of two chapters. The first chapter analyzes heterogeneous treatment effects on the …