Modeling Binary Panel Data with Nonresponse
AbstractThis 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.
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Bibliographic InfoPaper provided by Research Department of Statistics Norway in its series Discussion Papers with number 297.
Date of creation: Apr 2001
Date of revision:
Nonignorable nonresponse; logistic modeling; imputation; election survey; consumer expenditure survey;
Find related papers by JEL classification:
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
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