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Modeling Binary Panel Data with Nonresponse

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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.

Suggested Citation

  • Jan F. Bjørnstad & Dag Einar Sommervoll, 2001. "Modeling Binary Panel Data with Nonresponse," Discussion Papers 297, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:297
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    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp297.pdf
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    Keywords

    Nonignorable nonresponse; logistic modeling; imputation; election survey; consumer expenditure survey;

    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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