Summary information
Study title
wgtdistrim: Stata module for trimming extreme sampling weights
Creator
Lang, Sebastian ( DZHW)
Klein, Daniel ( DZHW)
Study number / PID
10.7802/2641 (GESIS)
10.7802/2641 (DOI)
Data access
Information not available
Series
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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.
Topics
Keywords
Methodology
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Publisher
GESIS Data Archive for the Social Sciences
Publication year
2023
Terms of data access
Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.
GNU General Public License v3.0
Related publications
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