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Calibrated Hot-Deck Donor Imputation Subject to Edit Restrictions

Author

Listed:
  • Coutinho Wieger

    (Loket Aangepast-Lezen, PO Box 84010, 2508 AA The Hague, The Netherlands)

  • Waal Ton de

    (Statistics Netherlands, PO Box 24500, 2490 HA The Hague, The Netherlands)

  • Shlomo Natalie

    (School of Social Sciences, University of Manchester, Humanities Bridgeford Street, Manchester, M13 9PL, United Kingdom)

Abstract

A major challenge faced by basically all institutes that collect statistical data on persons, households or enterprises is that data may be missing in the observed data sets. The most common solution for handling missing data is imputation. Imputation is complicated owing to the existence of constraints in the form of edit restrictions that have to be satisfied by the data. Examples of such edit restrictions are that someone who is less than 16 years old cannot be married in the Netherlands, and that someone whose marital status is unmarried cannot be the spouse of the head of household. Records that do not satisfy these edits are inconsistent, and are hence considered incorrect. A further complication when imputing categorical data is that the frequencies of certain categories are sometimes known from other sources or have previously been estimated. In this article we develop imputation methods for imputing missing values in categorical data that take both the edit restrictions and known frequencies into account.

Suggested Citation

  • Coutinho Wieger & Waal Ton de & Shlomo Natalie, 2013. "Calibrated Hot-Deck Donor Imputation Subject to Edit Restrictions," Journal of Official Statistics, Sciendo, vol. 29(2), pages 299-321, September.
    • Handle: RePEc:vrs:offsta:v:29:y:2013:i:2:p:299-321:n:7
    DOI: 10.2478/jos-2013-0024
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    References listed on IDEAS

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    1. Marco Di Zio & Mauro Scanu & Lucia Coppola & Orietta Luzi & Alessandra Ponti, 2004. "Bayesian networks for imputation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(2), pages 309-322, May.
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    Cited by:

    1. Ton de Waal & Wieger Coutinho, 2017. "Preserving Logical Relations while Estimating Missing Values," Romanian Statistical Review, Romanian Statistical Review, vol. 65(3), pages 47-59, September.
    2. Ton de Waal & Arnout van Delden & Sander Scholtus, 2020. "Multi‐source Statistics: Basic Situations and Methods," International Statistical Review, International Statistical Institute, vol. 88(1), pages 203-228, April.

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