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A Note on Listwise Deletion versus Multiple Imputation

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  • Pepinsky, Thomas B.

Abstract

This letter compares the performance of multiple imputation and listwise deletion using a simulation approach. The focus is on data that are “missing not at random” (MNAR), in which case both multiple imputation and listwise deletion are known to be biased. In these simulations, multiple imputation yields results that are frequently more biased, less efficient, and with worse coverage than listwise deletion when data are MNAR. This is the case even with very strong correlations between fully observed variables and variables with missing values, such that the data are very nearly “missing at random.” These results recommend caution when comparing the results from multiple imputation and listwise deletion, when the true data generating process is unknown.

Suggested Citation

  • Pepinsky, Thomas B., 2018. "A Note on Listwise Deletion versus Multiple Imputation," Political Analysis, Cambridge University Press, vol. 26(4), pages 480-488, October.
  • Handle: RePEc:cup:polals:v:26:y:2018:i:04:p:480-488_00
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    Cited by:

    1. Hashimoto, Barry, 2020. "Autocratic Consent to International Law: The Case of the International Criminal Court's Jurisdiction, 1998–2017," International Organization, Cambridge University Press, vol. 74(2), pages 331-362, April.
    2. Polina Zvavitch & Michael S. Rendall & Constanza Hurtado-Acuna & Rachel M. Shattuck, 2021. "Contraceptive Consistency and Poverty After Birth," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(6), pages 1277-1311, December.
    3. Kevin Tze-wai Wong & Victor Zheng & Po-san Wan, 2022. "Using a dual-frame design to improve phone surveys on political attitudes: developing a weighting strategy for limited external information in Hong Kong," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2387-2414, August.
    4. Marina Apgar & Guillaume Fournie & Barbara Haesler & Grace Lyn Higdon & Leah Kenny & Annalena Oppel & Evelyn Pauls & Matthew Smith & Mieke Snijder & Daan Vink & Mazeda Hossain, 2023. "Revealing the Relational Mechanisms of Research for Development Through Social Network Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(2), pages 323-350, April.
    5. Zachary D Rethorn & Alessandra N Garcia & Chad E Cook & Oren N Gottfried, 2020. "Quantifying the collective influence of social determinants of health using conditional and cluster modeling," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-18, November.
    6. Zhang, Lixia & Topitzes, James, 2022. "The association between family physical environment and child maltreatment," Children and Youth Services Review, Elsevier, vol. 139(C).
    7. Giorgos Gouzoulis, 2021. "Finance, Discipline and the Labour Share in the Long‐Run: France (1911–2010) and Sweden (1891–2000)," British Journal of Industrial Relations, London School of Economics, vol. 59(2), pages 568-594, June.

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