Many personal and policy decisions turn on perceptions of school effectiveness, defined
here as the causal effect of attendance at a particular school or set of schools on student test …

We study the results of a massive nationwide correspondence experiment sending more
than 83,000 fictitious applications with randomized characteristics to geographically …

Policy makers, firms, and researchers often choose among multiple options based on
estimates. Sampling error in the estimates used to guide choice leads to a winner's curse …

It is often desired to rank different populations according to the value of some feature of each
population. For example, it may be desired to rank neighbourhoods according to some …

Background Non-experimental studies (also known as observational studies) are valuable
for estimating the effects of various medical interventions, but are notoriously difficult to …

Researchers frequently report league tables ranking units (neighborhoods or firms, for
instance) based on estimated coefficients. Since the rankings are formed based on …

In multisite trials, researchers are often interested in several inferential goals: estimating
treatment effects for each site, ranking these effects, and studying their distribution. This …

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 …

It is common to rank different categories by means of preferences that are revealed through
data on choices. A prominent example is the ranking of political candidates or parties using …

We develop an empirical Bayes ranking procedure that assigns ordinal grades to noisy
measurements, balancing the information content of the assigned grades against the …