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
ePrint ID: 34684
Date Deposited: 17 May 2006
Last Modified: 27 Mar 2014 18:21
Contact Email Address: cjs@socsci.soton.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/34684

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