IDEAS home Printed from
   My bibliography  Save this paper

Modeling and Estimation Methods for Household Size in the Presence of Nonresponse Applied to The Norwegian Consumer Expenditure Survey




This paper considers the problem of estimating the number of private households of various sizes and the total number of households in Norway. The approach is model-based with a population model for household size given registered family size while taking into account possible nonresponse biases by modeling the response mechanism conditional on household size. Various models are considered together with regression estimation and imputation-based poststratification. Comparisons are made with the estimation methods used in official statistics for The Norwegian Consumer Expenditure Survey. We conclude that poststratification, response modeling and imputation should be used instead of the current method in official statistics, a modified Horvitz-Thompson method.

Suggested Citation

  • Liv Belsby & Jan F. Bjørnstad, 1997. "Modeling and Estimation Methods for Household Size in the Presence of Nonresponse Applied to The Norwegian Consumer Expenditure Survey," Discussion Papers 206, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:206

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Household size; nonresponse; imputation; poststratification;

    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


    Access and download statistics


    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:206. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (L Maasø) or (Rebekah McClure). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.