Survey item nonresponse and its treatment |
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Authors: | Susanne R?ssler and Regina T Riphahn |
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Institution: | (1) Kompetenzzentrum für Empirische Methoden, IAB Institut für Arbeitsmarkt-und Berufsforschung, Regensburger Str. 104, 90478 Nürnberg;(2) Lehrstuhl für Statistik und empirische Wirtschaftsforschung, Universit?t Erlangen-Nürnberg, Lange Gasse 20, 90403 Nürnberg |
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Abstract: | Summary One of the most salient data problems empirical researchers face is the lack of informative responses in survey data. This
contribution briefly surveys the literature on item nonresponse behavior and its determinants before it describes four approaches
to address item nonresponse problems: Casewise deletion of observations, weighting, imputation, and model-based procedures.
We describe the basic approaches, their strengths and weaknesses and illustrate some of their effects using a simulation study.
The paper concludes with some recommendations for the applied researcher.
We are grateful to an anonymous referee who provided helpful comments. Also we like to thank Donald B. Rubin for helpful comments
and always motivating discussions as well as Ralf Münnich for inspiring discussions about raking procedures. |
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Keywords: | Item nonresponse imputation weighting survey data JEL C1 C81 C49 |
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