Introduces a regression-adjustment estimator for network experiments under approximate neighborhood interference that is proven asymptotically no less efficient than an unadjusted estimator.
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Adjusting auxiliary variables under approximate neighborhood interference
Introduces a regression-adjustment estimator for network experiments under approximate neighborhood interference that is proven asymptotically no less efficient than an unadjusted estimator.