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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 fol ... more

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 fol ... more

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

Primärforschende, Institution: Lang, Sebastian; DZHW, Klein, Daniel; DZHW

Publication year: 2023

Study number: SDN-10.7802-2641

Publisher: GESIS, Cologne

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

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

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wgtdistrim-main.zip
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MD5:	5f3ea04b1423ca0f6c39dac9adcb17aa
Type of file:	Syntax
File size:	17.91 KB
Version number:	1.0.0
Version date:	2023-11-15
Source	Potter, F. J. 1990. A study of procedures to identify and trim extreme sampling weights. Proceedings of the Survey Research Methods Section of the American Statistical Association. 225--230.,Chen, Q., Elliott, M. R., Haziza, D., Yang, Y., Ghosh, M., Little, R. J. A., Sedransk, J., & Thompson, M. 2017. Approaches to improving survey-weighted estimates. Statistical Science, 32(2), 227--248.
Software and Version	Stata 16.1

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