Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/192279 
Year of Publication: 
2001
Series/Report no.: 
Discussion Papers No. 297
Publisher: 
Statistics Norway, Research Department, Oslo
Abstract: 
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.
Subjects: 
Nonignorable nonresponse
logistic modeling
imputation
election survey
consumer expenditure survey
JEL: 
C42
C13
Document Type: 
Working Paper

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