This chapter reviews the microeconometrics literature on partial identification, focusing on
the developments of the last thirty years. The topics presented illustrate that the available …

Conditional independence of treatment assignment from potential outcomes is a commonly
used but nonrefutable assumption. We derive identified sets for various treatment effect …

We consider partial identification of finite mixture models in the presence of an observable
source of variation in the mixture weights that leaves component distributions unchanged, as …

In this paper, we build a new test of rational expectations based on the marginal distributions
of realizations and subjective beliefs. This test is widely applicable, including in the common …

We study partially linear models when the outcome of interest and some of the covariates
are observed in two different datasets that cannot be linked. This type of data combination …

This paper analyzes partial identification of parameters that measure a distribution's spread,
for example, the variance, Gini coefficient, entropy, or interquartile range. The core results …

While traditional program evaluations typically rely on surveys to measure outcomes, certain
economic outcomes such as living standards or environmental quality may be infeasible or …

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

Econometrics has traditionally revolved around point identi cation. Much effort has been
devoted to finding the weakest set of assumptions that, together with the available data …

In this paper, we build a new test of rational expectations based on the marginal distributions
of realizations and subjective beliefs. This test is widely applicable, including in the common …