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Regression Discontinuity Design with Spillovers
Under the assumption that spillovers are linear-in-means, we show that the estimand depends on the ratio of two terms: (1) the radius over which spillovers occur and (2) the choice of bandwidth used for the local linear regression.
Efficient Semiparametric Estimation of Average Treatment Effects Under Covariate Adaptive Randomization
Additionally, this efficiency bound is shown to be achievable under the same conditions as those used to derive the bound by using a cross-fitted Nadaraya-Watson kernel estimator to form nonparametric regression adjustments.
Bootstrap based asymptotic refinements for high-dimensional nonlinear models
This paper gives conditions under which the bootstrap, based on estimates obtained through SCAD penalization with thresholding, provides asymptotic refinements of size \(O \left( n^{- 2} \right)\) for the error in the rejection (coverage) probability of a symmetric hypothesis test (confidence interval) and \(O \left( n^{- 1} \right)\) for the error in the rejection (coverage) probability of a one-sided or equal tailed test (confidence interval).
On the Performance of the Neyman Allocation with Small Pilots
The Neyman Allocation is used in many papers on experimental design, which typically assume that researchers have access to large pilot studies.
