Research methods

Economists are obsessed with rankings of institutions, journals, or scholars according to the value of some feature of interest.

We designed a coaching program that focused on one aspect of teacher quality—teacher-child interactions—that researchers in education and psychology have argued is critical for child development and learning.

We provide novel bounds on average treatment effects (on the treated) that are valid under an unconfoundedness assumption.

We consider a situation where the distribution of a random variable is being estimated by the empirical distribution of noisy measurements of that variable.

It is common to rank different categories by means of preferences that are revealed through data on choices.

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.

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

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.

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.