6 papers · 1 filter
On the Efficiency of Highly Stratified Experiments
Yuehao Bai, Jizhou Liu, Azeem M. Shaikh +1
This paper studies the use of highly stratified designs for the efficient estimation of a large class of treatment effect parameters that arise in the analysis of experiments. By a…
Inference After Ranking with Applications to Economic Mobility
Andreas Petrou-Zeniou, Azeem M. Shaikh
This paper considers the problem of inference after ranking. In our setting, we are interested in any population whose rank according to some random quantity, such as an estimated…
Inference in Cluster Randomized Trials with Matched Pairs
Yuehao Bai, Jizhou Liu, Azeem M. Shaikh +1
This paper studies inference in cluster randomized trials where treatment status is determined according to a "matched pairs" design. Here, by a cluster randomized experiment, we m…
Randomization Inference: Theory and Applications
David M. Ritzwoller, Joseph P. Romano, Azeem M. Shaikh
We review approaches to statistical inference based on randomization. Permutation tests are treated as an important special case. Under a certain group invariance property, referre…
Inference in Experiments with Matched Pairs and Imperfect Compliance
Yuehao Bai, Hongchang Guo, Azeem M. Shaikh +1
This paper studies inference for the local average treatment effect in randomized controlled trials with imperfect compliance where treatment status is determined according to "mat…
Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
Federico Bugni, Ivan Canay, Azeem Shaikh +1
This paper considers the problem of inference in cluster randomized experiments when cluster sizes are non-ignorable. Here, by a cluster randomized experiment, we mean one in which…