On the Construction of Imputation Classes in Surveys

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Quantifying fishing effort: a synthesis of current methods and their applications (2008, unknown): “Biases from questionnaires associated with non-respondents, which would arise if respondents are significantly different than non-respondents, can be minimized by using response propensity stratification to adjust survey results to remove non-response bias (Fisher 1996; Haziza and Beaumont 2007).”
Multiply robust imputation procedures for the treatment of item nonresponse in surveys (2017, background): “A missing value within a class was replaced by the value of a respondent selected with replacement within the same class with equal selection probabilities (Little, 1986; Haziza & Beaumont, 2007).”
A Review of Hot Deck Imputation for Survey Non‐response (2010, methodology): “Stratification via predictive means and response propensities are compared in the context of the hot deck in Haziza & Beaumont (2007).”