Jackknife variance estimator with reimputation for randomly imputed survey data

H. Saigo and R.R. Sitter

Statistics & Probability Letters, 2005, vol. 73, issue 3, 321-331

Abstract: Reimputing after each deletion of a unit in the jackknife is known to lead to inconsistent variance estimators in the presence of random imputation in complex surveys. We use rescaling to adjust the reimputation and show that the resulting variance estimator performs somewhat better than the adjusted jackknife variance estimator.

Keywords: Hotdeck; Ratio; imputation; Regression; imputation; Resampling (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (1)

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