Measurement

This paper studies linear panel regression models in which the unobserved error term is an unknown smooth function of two-way unobserved fixed effects.

We study inference in complete information games with discrete strategy spaces.

Economists are often interested in estimating averages with respect to distributions of unobservables, such as moments of individual fixed-effects, or average partial effects in discrete choice models.

In this paper we analyse a discrete choice model for partially ordered alternatives.

This paper describes three methods for carrying out non-asymptotic inference on partially identified parameters that are solutions to a class of optimization problems.

How to allocate vaccines over heterogeneous individuals is one of the important policy decisions in pandemic times. This paper develops a procedure to estimate an individualized vaccine allocation policy under limited supply, exploiting social network data containing individual demographic characteristics and health status.

This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable restrictions.

This paper proposes a powerful alternative to the t-test in linear regressions when a regressor is mismeasured. We assume there is a second contaminated measurement of the regressor of interest.

In this paper, we consider the problem of accounting for such uncertainty by constructing confidence sets for the rank of each population. We consider both the problem of constructing marginal confidence sets for the rank of a particular population as well as simultaneous confidence sets for the ranks of all populations.

We propose a new specification test for assessing the validity of fuzzy regression discontinuity designs (FRD-validity).

This paper first reviews some of the approaches that have been taken to estimate the common parameters of binary outcome models with fixed effects.

We study the incidental parameter problem for the “three-way” Poisson Pseudo-Maximum Likelihood (PPML) estimator recently recommended for identifying the effects of trade policies and in other panel data gravity settings.

We show the importance of Berkson errors for demand estimation with nonseparable unobserved heterogeneity.

We study an extension of a treatment effect model in which an observed discrete classifier indicates which one of a set of counterfactual processes occurs, each of which may result in the realization of several endogenous outcomes.

We study testable implications of multiple equilibria in discrete games with incomplete information. Unlike de Paula and Tang (2012), we allow the players’ private signals to be correlated.