A method of weighting adjustment for survey data subject to nonignorable nonresponse

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Aufrufstatistik

URI: http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-4516
http://hdl.handle.net/10900/47236
Dokumentart: ResearchPaper
Date: 2002
Language: English
Faculty: 6 Wirtschafts- und Sozialwissenschaftliche Fakultät
Department: Wirtschaftswissenschaften
DDC Classifikation: 330 - Economics
Keywords: Stichprobe / Fehler
Other Keywords:
weighting adjustment, nonresponse effect, effect of nonignorability, stratified simple random sampling, post-stratification
Other Contributors: Münnich, Ralf (Co-ordinator)
License: xmlui.dri2xhtml.METS-1.0.item-dc-rights_value_ubt-nopod
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Abstract:

Weighting adjustment is a standard quasi-randomization approach for survey data subject to nonresponse Little (1986). The existing methods are typically based on the assumption that nonresponse is independent of the survey variable conditional to the auxiliary variables used to form the adjustment cells. In this paper we consider nonignorable nonresponse which is independent of certain auxiliary information conditional to the variable of interest. We estimate the size of the sample adjustment cells using a method of moment conditional to the sample. The method relies on only the nonresponse mechanism, and is independent of the sample design. In variance estimation, we evaluate the nonresponse effect on estimation and design, analogously to the concept of design effect. By comparing the nonresponse effects under a nonignorable model against those under an ignorable one, we obtain a means of measuring the effect of nonignorability. We motivate and illustrate our approach for estimation of household composition.

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