Jackknife variance estimation for multivariate statistics under hot-deck imputation from common donors
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), 149-167. (doi:10.1016/S0378-3758(01)00185-9).
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Description/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 |
|---|---|
| ISSNs: | 0378-3758 (print) |
| Related URLs: | |
| Keywords: | nonresponse, sample survey, finite population, domain |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | University Structure - Pre August 2011 > School of Social Sciences > Social Statistics |
| Item ID: | 34684 |
| Date Deposited: | 17 May 2006 |
| Last Modified: | 01 Jun 2011 16:40 |
| Contributors: | Skinner, C.J. (Author) Rao, J.N.K. (Author) |
| Date: | 2002 |
| Status: | Published |
| Contact Email Address: | cjs@socsci.soton.ac.uk |
| URI: | http://eprints.soton.ac.uk/id/eprint/34684 |
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