Nearest Neighbor Imputation for Survey Data

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Estimating Equations Inference With Missing Data (2008, methodology): “Common imputation methods include multiple imputation (Rubin 1987; Lipsitz, Zhao, and Molenberghs 1998; Aerts, Claeskens, Hens, and Molenberghs 2002), random imputation (Chen, Rao, and Sitter 2000), and nearest neighbor imputation (Chen and Shao 2000; Wasito and Mirkin 2006). Cheng (1994) derived es”
A Review of Hot Deck Imputation for Survey Non‐response (2010, background): “Chen & Shao (2000) extend the approach of Rancourt et al. (1994) to show that the relationship between the imputed variable and the auxiliary information need not be linear for asymptotic unbiasedness to hold, with suitable regularity conditions.”
Jackknife Variance Estimation for Nearest-Neighbor Imputation (2001, methodology): “For comparison, we also obtained a variance estimate, vREG = 2301478 (Chen and Shao 2000), based on linear regression tting between y and x within each imputation class, using respondents and the weighted least squares method.”