Many studies use matched employer-employee data to estimate a statistical model of
earnings determination with worker and firm fixed effects. Estimates based on this model …

Notes. This figure plots race-specific release rates for the 268 judges in our sample against
rates of predicted pretrial misconduct among the set of released defendants. Predicted …

Human decision-makers frequently override the recommendations generated by predictive
algorithms, but it is unclear whether these discretionary overrides add valuable private …

Non-random sorting can bias observational measures of institutional quality and distort
quality-based polices. I develop alternative quasi-experimental approaches to quality …

We propose a framework for estimation and inference when the model may be misspecified.
We rely on a local asymptotic approach where the degree of misspecification is indexed by …

For whom has earnings risk changed, and why? To answer these questions, we develop a
filtering method that estimates parameters of an income process and recovers persistent and …

We construct robust empirical Bayes confidence intervals (EBCIs) in a normal means
problem. The intervals are centered at the usual linear empirical Bayes estimator, but use a …

As an important problem in causal inference, we discuss the identification and estimation of
treatment effects (TEs) under limited overlap; that is, when subjects with certain features …

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 …

Shrinkage methods are frequently used to estimate fixed effects to reduce the noisiness of
the least square estimators. However, widely used shrinkage estimators guarantee such …