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A Review of Hot Deck Imputation for Survey Non-response

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  • Rebecca R. Andridge
  • Roderick J. A. Little

Abstract

Hot deck imputation is a method for handling missing data in which each missing value is replaced with an observed response from a "similar" unit. Despite being used extensively in practice, the theory is not as well developed as that of other imputation methods. We have found that no consensus exists as to the best way to apply the hot deck and obtain inferences from the completed data set. Here we review different forms of the hot deck and existing research on its statistical properties. We describe applications of the hot deck currently in use, including the U.S. Census Bureau's hot deck for the Current Population Survey (CPS). We also provide an extended example of variations of the hot deck applied to the third National Health and Nutrition Examination Survey (NHANES III). Some potential areas for future research are highlighted. Copyright (c) 2010 The Authors. Journal compilation (c) 2010 International Statistical Institute.

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Bibliographic Info

Article provided by International Statistical Institute in its journal International Statistical Review.

Volume (Year): 78 (2010)
Issue (Month): 1 (04)
Pages: 40-64

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Handle: RePEc:bla:istatr:v:78:y:2010:i:1:p:40-64

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Cited by:
  1. Raymundo M. Campos-Vazquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Serie documentos de trabajo del Centro de Estudios Económicos 2013-04, El Colegio de México, Centro de Estudios Económicos.
  2. Hamrick, Karen S., 2012. "Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module," Technical Bulletins 131556, United States Department of Agriculture, Economic Research Service.
  3. Rasner, Anika & Frick, Joachim R. & Grabka, Markus M., 2013. "Statistical Matching of Administrative and Survey Data: An Application to Wealth Inequality Analysis," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 192-224.
  4. Wittenberg, Martin & Pirouz, Farah, 2013. "The measurement of earnings in the post-Apartheid period: An overview," SALDRU Working Papers 108, Southern Africa Labour and Development Research Unit, University of Cape Town.
  5. Thomas Masterson, 2012. "Simulations of Full-Time Employment and Household Work in the Levy Institute Measure of Time and Income Poverty (LIMTIP) for Argentina, Chile, and Mexico," Economics Working Paper Archive wp_727, Levy Economics Institute.
  6. Torres Munguía, Juan Armando, 2014. "Comparison of Imputation Methods for Handling Missing Categorical Data with Univariate Pattern|| Una comparación de métodos de imputación de variables categóricas con patrón univariado," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 17(1), pages 101-120, June.
  7. Omar Paccagnella, 2011. "Anchoring vignettes with sample selection due to non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 665-687, 07.
  8. Thomas Masterson, 2013. "Quality of Statistical Match and Simulations Used in the Estimation of the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) for Turkey in 2006," Economics Working Paper Archive wp_769, Levy Economics Institute.
  9. Thomas Masterson, 2014. "Quality of Statistical Match and Employment Simulations Used in the Estimation of the Levy Institute Measure of Time and Income Poverty (LIMTIP) for South Korea, 2009," Economics Working Paper Archive wp_793, Levy Economics Institute.

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