A nonparametrically efficient estimator for network quantile causal effects under partial interference achieves parametric convergence rates via three-way cross-fitting and flexible nuisance estimation.
(2018), Double/debiased machine learning for treatment and structural parameters, The Econometrics Journal\/ , C1--C68
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Nonparametric efficient inference for network quantile causal effects under partial interference
A nonparametrically efficient estimator for network quantile causal effects under partial interference achieves parametric convergence rates via three-way cross-fitting and flexible nuisance estimation.