Identification strategies concern what can be learned about the value of a parameter based
on the data and the model assumptions. The literature on partial identification is motivated …

Decision makers, such as doctors, judges, and managers, make consequential choices
based on predictions of unknown outcomes. Do these decision makers make systematic …

How informative are treatment effects estimated in one region or time period for another
region or time? In this article, I derive bounds on the average treatment effect in a context of …

We show that moment inequalities in a wide variety of economic applications have a
particular linear conditional structure. We use this structure to construct uniformly valid …

Many causal estimands are only partially identifiable since they depend on the
unobservable joint distribution between potential outcomes. Stratification on pretreatment …

I study the problem of a decision maker choosing a policy which allocates treatment to a
heterogeneous population on the basis of experimental data that includes only a subset of …

We review approaches to identification and inference on models in Industrial Organization
with partial identification and/or moment inequalities. Often, such approaches are …

In a setting with a multi-valued outcome, treatment and instrument, this paper considers the
problem of inference for a general class of treatment effect parameters. The class of …

This paper provides a unified framework for studying the identification of counterfactual
parameters in a general class of discrete outcome models, allowing for endogenous …

This paper investigates the causal effect of job training on wage rates in the presence of firm
heterogeneity. When training affects worker sorting to firms, sample selection is no longer …