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wgtdistrim: Stata module for trimming extreme sampling weights

Lang, Sebastian; Klein, Daniel
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2641
Abstract: 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.
Availability: Free access (without registration)
License: GNU General Public License v3.0
Subject area: [Other Fields of the Applied Social Sciences]
Topics: Software | weighting | sample | software

Bibliographic information

Primärforschende, Institution: Lang, Sebastian; DZHW | Klein, Daniel; DZHW
Publication year: 2023
DOI: 10.7802/2641
Study number: SDN-10.7802-2641
Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/2641

Reference publications

Publications: Lang, S., & Klein, D. (2023). WGTDISTRIM: Stata module to trim extreme sampling weights. Available from https://github.com/se-lang/wgtdistrim

Cite

Lang, Sebastian, & Klein, Daniel (2023). wgtdistrim: Stata module for trimming extreme sampling weights. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2641.

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