. -- bootstrap ; nonparametric kernel ; technical efficiency …

Abadie and Imbens (2008, Econometrica) showed that classical bootstrap schemes fail to provide correct inference for K …-nearest neighbour (KNN) matching estimators of average causal effects. This is an interesting result showing that bootstrap should not … respect to the matching covariate, we obtain a bootstrap scheme valid also with heterogeneous causal effects where mild …

This paper develops a novel wild bootstrap procedure to construct robust bias-corrected (RBC) valid confidence …

In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measuring the …

methods, which are debiased to deal with the incidental parameter problem. We propose a cross-sectional bootstrap method for …

Because finite sample inference for inequality indices based on asymptotic methods or the standard bootstrap does not … systematic application of these and other inferential approaches to real-world income data (high-quality UK household survey data … semiparametric bootstrap which in turn provides more than the conventional asymptotic approach and the "Student-t" approach …