4 citations · 6 across the 6 of their papers we have counts for
6 papers · 1 filter
Two-stage Least Squares with Clustered Data under the Local Average Treatment Effect Framework
Anqi Zhao, Peng Ding, Fan Li
To estimate the causal effect of an endogenous treatment using clustered data, the canonical two-stage least squares (2sls) estimates a linear regression of the outcome on treatmen…
Alternative statistical inference for the first normalized incomplete moment
Jiannan Lu, Peng Ding, Anqi Zhao
This paper re-examines the first normalized incomplete moment, a well-established measure of inequality with wide applications in economic and social sciences. Despite the populari…
Two-stage least squares with treatment-covariate interactions for treatment effect heterogeneity
Anqi Zhao, Peng Ding, Fan Li
Treatment effect heterogeneity with respect to covariates is common in instrumental variable (IV) analyses. An intuitive approach, which we call the interacted two-stage least squa…
Factorial Difference-in-Differences
Yiqing Xu, Anqi Zhao, Peng Ding
We formulate factorial difference-in-differences (FDID), a research design that extends canonical difference-in-differences (DID) to settings in which an event affects all units. I…
Covariate adjustment in randomized experiments with missing outcomes and covariates
Anqi Zhao, Peng Ding, Fan Li
Covariate adjustment can improve precision in analyzing randomized experiments. With fully observed data, regression adjustment and propensity score weighting are asymptotically eq…
Covariate adjustment in multi-armed, possibly factorial experiments
Anqi Zhao, Peng Ding
Randomized experiments are the gold standard for causal inference, and justify simple comparisons across treatment groups. Regression adjustment provides a convenient way to incorp…