From the help desk: Bootstrapped standard errors
Weihua Guan
Stata Corporation
|
Abstract. Bootstrapping is a nonparametric approach for evaluating the distribution of
a statistic based on random resampling. This article illustrates the
bootstrap as an alternative method for estimating the standard errors when
the theoretical calculation is complicated or not available in the current
software.
View all articles by this author:
Weihua Guan
View all articles with these keywords:
bootstrap, cluster, nl, instrumental variables
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|