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Jackknife Variance Estimation for Nearest-Neighbor Imputation

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  • Chen J.
  • Shao J.

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Suggested Citation

  • Chen J. & Shao J., 2001. "Jackknife Variance Estimation for Nearest-Neighbor Imputation," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 260-269, March.
  • Handle: RePEc:bes:jnlasa:v:96:y:2001:m:march:p:260-269
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    Cited by:

    1. Zhong, Ping-Shou & Chen, Sixia, 2014. "Jackknife empirical likelihood inference with regression imputation and survey data," Journal of Multivariate Analysis, Elsevier, vol. 129(C), pages 193-205.
    2. Leombruni Roberto & Mosca Michele, 2013. "The lifetime gender gap in Italy. Does the pension system countervail labour market outcomes?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201302, University of Turin.
    3. Gabriele Beissel-Durrant & Chris Skinner, 2003. "Estimation of the Distribution of Hourly Pay from Household Survey Data: The Use of Missing Data Methods to Handle Measurement Error," CeMMAP working papers CWP12/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.
    5. Zhaohao Wang & Xiaoping Zhang, 2019. "Fuzzy Set-Valued Information Systems and the Algorithm of Filling Missing Values for Incomplete Information Systems," Complexity, Hindawi, vol. 2019, pages 1-17, December.

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