1 citations · 1 across the 5 of their papers we have counts for
5 papers
Graph-Laplacian Variance Estimators for Finely Stratified Experiments
Yuehao Bai, Xun Huang, Joseph P. Romano +2
This paper considers design-based inference on the average treatment effect in finely stratified experiments, where uncertainty arises only from the randomized treatment assignment…
A New Design-Based Variance Estimator for Finely Stratified Experiments
Yuehao Bai, Xun Huang, Joseph P. Romano +2
This paper considers the problem of design-based inference for the average treatment effect in finely stratified experiments. Here, by "design-based'' we mean that the only source…
Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties
Sergei Bazylik, Magne Mogstad, Joseph Romano +2
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 u…
Covariate Adjustment in Experiments with Matched Pairs
Yuehao Bai, Liang Jiang, Joseph P. Romano +2
This paper studies inference on the average treatment effect in experiments in which treatment status is determined according to "matched pairs" and it is additionally desired to a…
Confidence Intervals for Seroprevalence
Thomas J. DiCiccio, David M. Ritzwoller, Joseph P. Romano +1
This paper concerns the construction of confidence intervals in standard seroprevalence surveys. In particular, we discuss methods for constructing confidence intervals for the pro…