IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/311.html
   My bibliography  Save this paper

A method of weighting adjustment for survey data subject to nonignorable nonresponse

Author

Listed:

Abstract

Weighting adjustment is a standard quasi-randomization approach for survey data subject to nonresponse (Little, 1986). The existing methods are typically based on the assumption that nonresponse is independent of the survey variable conditional to the auxiliary variables used to form the adjustment cells. In this paper we consider nonignorable nonresponse which is independent of certain auxiliary information conditional to the variable of interest. We estimate the size of the sample adjustment cells using a method of moment conditional to the sample. The method relies on only the nonresponse mechanism, and is independent of the sample design. In variance estimation, we evaluate the nonresponse effect on estimation and design, analogously to the concept of design effect. By comparing the nonresponse effects under a nonignorable model against those under an ignorable one, we obtain a means of measuring the effect of nonignorability. We motivate and illustrate our approach for estimation of household composition.

Suggested Citation

  • Li-Chun Zhang, 2001. "A method of weighting adjustment for survey data subject to nonignorable nonresponse," Discussion Papers 311, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:311
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp311.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. P. W. F. Smith & C. J. Skinner & P. S. Clarke, 1999. "Allowing for non‐ignorable non‐response in the analysis of voting intention data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(4), pages 563-577.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ghosh, S. & Vellaisamy, P., 2016. "On the occurrence of boundary solutions in multidimensional incomplete tables," Statistics & Probability Letters, Elsevier, vol. 119(C), pages 63-75.
    2. Ib Thomsen & Li-Chun Zhang & Joseph Sexton, 2000. "Markov Chain Generated Profile Likelihood Inference under Generalized Proportional to Size Non-ignorable Non-response," Discussion Papers 274, Statistics Norway, Research Department.
    3. Park, Yousung & Kim, Daeyoung & Kim, Seongyong, 2014. "Identification of the occurrence of boundary solutions in a contingency table with nonignorable nonresponse," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 34-40.
    4. Elaine Zanutto & Eric Bradlow, 2006. "Data pruning in consumer choice models," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 267-287, September.
    5. Clarke, Paul S. & Smith, Peter W.F., 2005. "On maximum likelihood estimation for log-linear models with non-ignorable non-response," Statistics & Probability Letters, Elsevier, vol. 73(4), pages 441-448, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssb:dispap:311. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.