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<dc:title>wgtdistrim: Stata module for trimming extreme sampling weights</dc:title>
<dc:creator>Lang, Sebastian,  DZHW</dc:creator>
<dc:creator>Klein, Daniel,  DZHW</dc:creator>
<dc:identifier>10.7802/2910</dc:identifier>
<dc:identifier>10.7802/2910</dc:identifier>
<dc:identifier>10.7802/2910</dc:identifier>
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<dc:date>2023</dc:date>
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<dc:description><![CDATA[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.]]></dc:description>
<dc:description><![CDATA[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.]]></dc:description>
<dc:contributor>GESIS Data Archive for the Social Sciences</dc:contributor>
<dc:publisher>GESIS Data Archive</dc:publisher>
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