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Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors

Record type: Article

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.

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Citation

Skinner, C.J. and Rao, J.N.K. (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. (doi:10.1016/S0378-3758(01)00185-9).

More information

Published date: 2002
Keywords: nonresponse, sample survey, finite population, domain

Identifiers

Local EPrints ID: 34684
URI: http://eprints.soton.ac.uk/id/eprint/34684
ISSN: 0378-3758
PURE UUID: 4a511b12-7b9d-49c9-8999-9d9684375eb9

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Date deposited: 17 May 2006
Last modified: 17 Jul 2017 15:49

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Contributors

Author: C.J. Skinner
Author: J.N.K. Rao

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