Generalized bootstrapping as an alternative to classical weighting approaches
Year: 2025
Type: article
Abstract: Some Stata commands do not accept (sampling) weights, which limits their applicability, particularly when working with survey data. As an alternative that can be used with any command, we propose generalized bootstrapping. Unlike the conventional bootstrap, in which each observation has an equal probability of being selected into a resample, generalized bootstrapping incorporates sampling weights, resulting in unequal probability sampling (UPS). We introduce the new command gbs, which implements generalized bootstrapping in Stata. Several examples illustrate its use, and a simulation study evaluates how well the command performs in comparison to standard sampling approaches.
Author: Bittmann, Felix
Institution: Leibniz Institute for Educational Trajectories
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7104870896
FWCI:
Cites:
Cited by:
Related to: