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dc.contributor.authorBjørnstad, Jan F.
dc.contributor.authorSommervoll, Dag Einar
dc.date.accessioned2011-11-26T20:36:11Z
dc.date.available2011-11-26T20:36:11Z
dc.date.issued2001
dc.identifier.issn1892-753x
dc.identifier.urihttp://hdl.handle.net/11250/179969
dc.description.abstractAbstract: This paper studies modeling of nonignorable nonresponse in panel surveys. A class of sequential conditional logistic models for nonresponse is considered. Model-based maximum likelihood estimation and imputation are used for estimating population proportions. Various models are evaluated, and comparisons are made with traditional methods of weighting and direct data imputation. Two cases are considered, (i) the population rate of participation in the 1989 Norwegian Storting election and (ii) estimation of car ownership in Norway in 1989 and 1990. Keywords: Nonignorable nonresponse, logistic modeling, imputation, election survey, consumer expenditure surveyno_NO
dc.language.isoengno_NO
dc.publisherStatistics Norway, Research Departmentno_NO
dc.relation.ispartofseriesDiscussion Papers;No. 297
dc.subjectNonignorable nonresponseno_NO
dc.subjectElection surveyno_NO
dc.subjectConsumer expenditure surveyno_NO
dc.subjectLogistic modelingno_NO
dc.subjectJEL classification: C42no_NO
dc.subjectJEL classification: C13no_NO
dc.titleModeling binary panel data with nonresponseno_NO
dc.typeWorking paperno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412no_NO
dc.source.pagenumber30 s.no_NO


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