This paper weakens the size and moment conditions needed for typical blockbootstrap methods (i.e. the moving blocks, circular blocks, and stationary boot-straps) to be valid for the sample mean of Near-Epoch-Dependent functions ofmixing processes; they are consistent under the weakest conditions...

This paper uses dimension asymptotics to study why overfit linear regression models shouldbe compared out-of-sample; we let the number of predictors used by the larger model increasewith the number of observations so that their ratio remains uniformly positive. Under this limittheory, the naive...