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Estimating Nonresponse Bias in Mail Surveys

Author

Listed:
  • JS Armstrong

    (The Wharton School)

  • Terry Overton

    (Marketing Scientist Merck Sharp & Dohme)

Abstract

Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies. For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using extrapolations.

Suggested Citation

  • JS Armstrong & Terry Overton, 2005. "Estimating Nonresponse Bias in Mail Surveys," General Economics and Teaching 0502044, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpgt:0502044
    Note: Type of Document - pdf; pages: 11
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/get/papers/0502/0502044.pdf
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    Keywords

    nonresponse bias; estimation;

    JEL classification:

    • A - General Economics and Teaching

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