sreg - Stratified Randomized Experiments
Estimate average treatment effects (ATEs) in stratified
randomized experiments. `sreg` supports a wide range of
stratification designs, including matched pairs, n-tuple
designs, and larger strata with many units — possibly of
unequal size across strata. 'sreg' is designed to accommodate
scenarios with multiple treatments and cluster-level treatment
assignments, and accommodates optimal linear covariate
adjustment based on baseline observable characteristics. 'sreg'
computes estimators and standard errors based on Bugni, Canay,
Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni,
Canay, Shaikh, Tabord-Meehan (2024+)
<doi:10.48550/arXiv.2204.08356>; Jiang, Linton, Tang, Zhang
(2023+) <doi:10.48550/arXiv.2201.13004>; Bai, Jiang, Romano,
Shaikh, and Zhang (2024) <doi:10.1016/j.jeconom.2024.105740>;
Bai (2022) <doi:10.1257/aer.20201856>; Bai, Romano, and Shaikh
(2022) <doi:10.1080/01621459.2021.1883437>; Liu (2024+)
<doi:10.48550/arXiv.2301.09016>; and Cytrynbaum (2024)
<doi:10.3982/QE2475>.
