Skinner, Chris J. (2002) Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors. Journal of statistical planning and inference, 102 (1). pp. 149-167. ISSN 0378-3758
Abstract
We consider a survey setting where missing values in a bivariate dataset are imputed by a hot-deck procedure which imputes all missing values for a given unit from a common donor with complete responses. It is shown that such an imputation procedure may lead to bias in standard estimators and a bias-adjusted estimator is derived. The variances of both the standard estimators and the bias-adjusted estimator are evaluated and jackknife variance estimators for each are constructed. We demonstrate the asymptotic unbiasedness of these variance estimators and illustrate their behaviour in a small simulation study.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.elsevier.com/wps/find/journaldescriptio... |
| Additional Information: | © 2002 Elsevier |
| Uncontrolled Keywords: | nonresponse, sample survey, finite population, domain |
| Library of Congress subject classification: | H Social Sciences > H Social Sciences (General) H Social Sciences > HA Statistics |
| Sets: | Departments > Statistics |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| URL: | http://eprints.lse.ac.uk/39125/ |
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