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Activity Number: 169 - SPEED:Improving Survey Data Quality with Multiple Data Sources, Administrative Data, and Nonresponse Bias Control
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #303019 Presentation
Title: Hot Deck Imputation Cells for the American Housing Survey
Author(s): Chrystine Tadler* and Richard Griffiths
Companies: Insight Policy Research and Insight Policy Research
Keywords: American Housing Survey; Hot Deck Imputation; Stepwise Logistic Regression

One technique the American Housing Survey uses to address missing data is hot deck imputation. This methodology has largely been used since 1998 with limited documentation surrounding the formation of imputation cells. A review of the hot deck imputation process and assessment of various methods of creating imputation cells has led to an improved hot deck imputation methodology with an improvement in preserving associations between dependent and independent variables. Techniques including stepwise logistic regression and classification and regression trees are used to identify variables highly correlated with those being imputed, forming the basis for improved imputation cells. Classification and regression trees are also used to determine improved sort order and grouping during production.

Authors who are presenting talks have a * after their name.

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