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  <dc:title xml:lang="en">wgtdistrim: Stata module for trimming extreme sampling weights</dc:title>
  <dc:creator xml:lang="en">Lang, Sebastian</dc:creator><dc:creator xml:lang="de">Lang, Sebastian</dc:creator><dc:creator xml:lang="en">Klein, Daniel</dc:creator><dc:creator xml:lang="de">Klein, Daniel</dc:creator>
  <dc:description xml:lang="en">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 xml:lang="de">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:subject xml:lang="en">Gewichtung</dc:subject><dc:subject xml:lang="en">Stichprobe</dc:subject><dc:subject xml:lang="en">Software</dc:subject><dc:subject xml:lang="de">Gewichtung</dc:subject><dc:subject xml:lang="de">Stichprobe</dc:subject><dc:subject xml:lang="de">Software</dc:subject>
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  <dc:date xml:lang="en">2023</dc:date>
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