2 citations · 4 across the 6 of their papers we have counts for
7 papers
Misspecified regressions with mixed regressors: robust inference and causal interpretation
Mengsi Gao, Peng Ding
For analytic convenience, existing statistical frameworks either assume random or fixed regressors. However, it is a little awkward that they do not cover the practical case of est…
Coupling and Maximal Inequalities for Graph-Dependent Empirical Processes
Mengsi Gao, Demian Pouzo
We develop maximal inequalities for empirical processes indexed by graph-dependent observations. Our bounds separate the complexity of the indexing class from two features specific…
Endogenous Interference in Randomized Experiments
Mengsi Gao
This paper investigates the identification and inference of treatment effects in randomized controlled trials with social interactions. Two key network features characterize the se…
On the power properties of inference for parameters with interval identified sets
Federico A. Bugni, Mengsi Gao, Filip Obradovic +1
This paper studies the power properties of confidence intervals (CIs) for a partially-identified parameter of interest with an interval identified set. We assume the researcher has…
Identification and Inference on Treatment Effects under Covariate-Adaptive Randomization and Imperfect Compliance
Federico A. Bugni, Mengsi Gao, Filip Obradovic +1
Randomized controlled trials (RCTs) frequently utilize covariate-adaptive randomization (CAR) (e.g., stratified block randomization) and commonly suffer from imperfect compliance.…
Causal inference in network experiments: regression-based analysis and design-based properties
Mengsi Gao, Peng Ding
Network experiments are powerful tools for studying spillover effects, which avoid endogeneity by randomly assigning treatments to units over networks. However, it is non-trivial t…
Inference under Covariate-Adaptive Randomization with Imperfect Compliance
Federico A. Bugni, Mengsi Gao
This paper studies inference in a randomized controlled trial (RCT) with covariate-adaptive randomization (CAR) and imperfect compliance of a binary treatment. In this context, we…