bootstrap procedure is proposed to test distributional hypotheses, such as equality of distributions, first-order stochastic …

total variation distance between a bootstrap distribution and the normal distribution parameterized by the point estimate … sample of recent empirical articles that use a bootstrap for inference, we find that the conventional normal approximation is …

bootstrap procedure for conducting inference about the conditional pricing errors as well as the shapes of the factor loading …

models simultaneously rather than sequentially, and do not require reestimation of models as part of a bootstrap procedure …

-reject, however, with few (5-30) clusters. We investigate inference using cluster bootstrap-t procedures that provide asymptotic …

methods for inference. However, no formal justification for the use of the bootstrap has been provided. Here we show that the … bootstrap is in general not valid, even in the simple case with a single continuous covariate when the estimator is root … neighbor matching, the standard conditions for the bootstrap are not satisfied, leading the bootstrap variance to diverge from …

The bootstrap, introduced by Efron (1982), has become a very popular method for estimating variances and constructing … bootstrap procedure that accounts for this uncertainty, and compare its properties to that of the classical bootstrap …

This article provides a stochastic valuation framework for bond and stock returns that builds on three different …

implications of this finding for asset prices. The uncovered dynamics of consumption implies modestly upward sloping real bond and …