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Missing-Data Adjustments in Large Surveys
Roderick J. A. Little
Journal of Business & Economic Statistics
Vol. 6, No. 3 (Jul., 1988), pp. 287-296
Stable URL: http://www.jstor.org/stable/1391878
Page Count: 10
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Useful properties of a general-purpose imputation method for numerical data are suggested and discussed in the context of several large government surveys. Imputation based on predictive mean matching is proposed as a useful extension of methods in existing practice, and versions of the method are presented for unit nonresponse and item nonresponse with a general pattern of missingness. Extensions of the method to provide multiple imputations are also considered. Pros and cons of weighting adjustments are discussed, and weighting-based analogs to predictive mean matching are outlined.
Journal of Business & Economic Statistics © 1988 American Statistical Association