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Calibration Estimation under Non-response and Missing Values in Auxiliary Information

Author

Listed:
  • Laitila, Thomas

    (Örebro University School of Business)

  • Wang, Lisha

    (Örebro University School of Business)

Abstract

The calibration approach is suggested in the literature for estimation in sample surveys under non-response given access to suitable auxiliary information. However, missing values in auxiliary information come up as a thorny but realistic problem. This paper considers the consistency of the calibration estimator suggested by Särndal & Lundström (2005)for estimation under nonresponse, connected with how imputation of auxiliary information based on different levels of register information affects the calibration estimator. An illustration is given with results from a small simulation study.

Suggested Citation

  • Laitila, Thomas & Wang, Lisha, 2015. "Calibration Estimation under Non-response and Missing Values in Auxiliary Information," Working Papers 2015:2, Örebro University, School of Business.
    • Handle: RePEc:hhs:oruesi:2015_002
    as

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    References listed on IDEAS

    as
    1. Montanari, Giorgio E. & Ranalli, M. Giovanna, 2005. "Nonparametric Model Calibration Estimation in Survey Sampling," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1429-1442, December.
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    More about this item

    Keywords

    Sample survey; non-response; imputation; consistency; bias;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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