Derives asymptotic efficiency bounds for a broad class of sequential experimental designs showing no further first-order asymptotic efficiency gains are possible for ATE estimation beyond the Hahn (1998) bound achieved with optimized propensity scores.
(2018): Stratification Trees for Adaptive Randomization in Randomized Controlled Trials , arXiv:1806.05127 [econ, stat], arXiv: 1806.05127
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Asymptotic Efficiency Bounds for a Class of Experimental Designs
Derives asymptotic efficiency bounds for a broad class of sequential experimental designs showing no further first-order asymptotic efficiency gains are possible for ATE estimation beyond the Hahn (1998) bound achieved with optimized propensity scores.