wgtdistrim: Stata module for trimming extreme sampling weights

DOI

Stata module that implements Potter's (1990) weight distribution approach to trim extreme sampling weights. The basic idea is that the sampling weights are assumed to follow a beta distribution. The parameters of the distribution are estimated from the moments of the observed sampling weights and the resulting quantiles are used as cut-off points for extreme sampling weights. The process is repeated a specified number of times (10 by default) or until no sampling weights are more extreme than the specified quantiles.

Identifier
DOI https://doi.org/10.7802/2641
Source https://search.gesis.org/research_data/SDN-10.7802-2641?lang=de
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=61a6f52cfc17bce21fb8dfe22d9c6bb257991a8ca5dd01735dd357e60bf7b958
Provenance
Creator Lang, Sebastian; Klein, Daniel
Publisher GESIS Data Archive for the Social Sciences; GESIS Datenarchiv für Sozialwissenschaften
Publication Year 2023
Rights Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. GNU General Public License v3.0; Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. GNU General Public License v3.0
OpenAccess true
Contact http://www.gesis.org/
Representation
Discipline Social Sciences