Mixing treated and control samples to shrink propensity scores yields a weighting estimator that reduces finite-sample variance for ATT estimation without changing the estimand, at the cost of a tuning parameter delta.
F., Speroff, T., Dawson, N
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Mixing Samples to Address Weak Overlap in Causal Inference
Mixing treated and control samples to shrink propensity scores yields a weighting estimator that reduces finite-sample variance for ATT estimation without changing the estimand, at the cost of a tuning parameter delta.