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Diagnostics for multiple imputation in Stata

Author

Listed:
  • Wesley Eddings

    (StataCorp)

  • Yulia Marchenko

    (StataCorp)

Abstract

Our new command midiagplots makes diagnostic plots for multiple imputations created by mi impute. The plots compare the distribution of the imputed values with that of the observed values so that problems with the imputation model can be corrected before the imputed data are analyzed. We include an example and suggest extensions to other diagnostics. Copyright 2012 by StataCorp LP.

Suggested Citation

  • Wesley Eddings & Yulia Marchenko, 2012. "Diagnostics for multiple imputation in Stata," Stata Journal, StataCorp LP, vol. 12(3), pages 353-367, September.
    • Handle: RePEc:tsj:stataj:v:12:y:2012:i:3:p:353-367
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    References listed on IDEAS

    as
    1. John B. Carlin & Ning Li & Philip Greenwood & Carolyn Coffey, 2003. "Tools for analyzing multiple imputed datasets," Stata Journal, StataCorp LP, vol. 3(3), pages 226-244, September.
    2. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    3. Kobi Abayomi & Andrew Gelman & Marc Levy, 2008. "Diagnostics for multivariate imputations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(3), pages 273-291, June.
    4. John B. Carlin & John C. Galati & Patrick Royston, 2008. "A new framework for managing and analyzing multiply imputed data in Stata," Stata Journal, StataCorp LP, vol. 8(1), pages 49-67, February.
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    2. Tim Jaekel, 2017. "Innovative Behavior and Prosocial Motivation of Russian Civil Servants," HSE Working papers WP BRP 09/PSP/2017, National Research University Higher School of Economics.
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    5. Riandy Laksono & Arianto A. Patunru, 2024. "The dynamics of labor share decline in manufacturing: Evidence from Indonesia," Departmental Working Papers 2024-3, The Australian National University, Arndt-Corden Department of Economics.

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