This paper proposes a new methodology for estimating teacher value-added. Rather than
imposing a normality assumption on unobserved teacher quality (as in the standard …

We propose a simple data-driven procedure that exploits heterogeneity in the first-stage
correlation between an instrument and an endogenous variable to improve the asymptotic …

We study multiple testing in the normal means problem with estimated variances that are
shrunk through empirical Bayes methods. The situation is asymmetric in that a prior is …

Economic theory often predicts that treatment responses may depend on individuals'
characteristics and location on the outcome distribution. Policymakers need to account for …

Out of the participants in a randomized experiment with anticipated heterogeneous
treatment effects, is it possible to identify which subjects have a positive treatment effect …

This paper proposes a computationally feasible nonparametric methodology for estimating
teacher value-added. Our estimator, drawing on Robbins (1956), permits the unobserved …

The purpose of this essay is to discuss two approaches to inference and how “human
capital” can provide a way to combine them. The first approach, ubiquitous in economics, is …

This article proposes bootstrap-based multiple testing procedures for quantile treatment
effect (QTE) heterogeneity under the assumption of selection on observables, and shows its …

Heteroskedasticity poses several methodological challenges in designing valid and
powerful procedures for simultaneous testing of composite null hypotheses. In particular, the …

Empirical Bayes methods are a set of statistical techniques that borrow ideas from both
frequentist and Bayesian paradigms and typically involve estimation of the prior distribution …