Many empirical questions in economics and other social sciences depend on causal effects
of programs or policies. In the last two decades, much research has been done on the …

Identification in econometric models maps prior assumptions and the data to information
about a parameter of interest. The partial identification approach to inference recognizes that …

This paper empirically assesses the wage effects of the Job Corps program, one of the
largest federally-funded job training programs in the United States. Even with the aid of a …

This paper develops a generalization of the widely used difference‐in‐differences method
for evaluating the effects of policy changes. We propose a model that allows the control and …

We propose a technique for assessing robustness to demand effects of findings from
experiments and surveys. The core idea is that by deliberately inducing demand in a …

This book provides a language and a set of tools for finding bounds on the predictions that
social and behavioral scientists can logically make from nonexperimental and experimental …

Political scientists, pundits, and citizens worry that America is entering a new period of
violent partisan conflict. Provocative survey data show that a large share of Americans …

Instrumental variable (IV) methods are widely used to identify causal effects in models with
endogenous explanatory variables. Often the instrument exclusion restriction that underlies …

We describe a two‐step algorithm for estimating dynamic games under the assumption that
behavior is consistent with Markov perfect equilibrium. In the first step, the policy functions …

How can price elasticities be identified when agents face optimization frictions such as
adjustment costs or inattention? I derive bounds on structural price elasticities that are a …