Applications of Hot Deck Imputation Methods to Survey Data (ADDED FEE) — Professional Development Continuing Education Course
ASA, Government Statistics Section, Survey Research Methods Section
This continuing education course will provide an introduction to the use of hot deck imputation with survey data. Hot deck imputation is a commonly used procedure for handling missing data in which each missing value (recipient) is replaced with an observed value from a "similar" unit (donor). Each step of hot deck imputation will be explored in this course, from different ways in which to select a donor unit through methods for obtaining valid variance estimates. Classical hot deck methods will be presented alongside more cutting-edge approaches, including fractional hot deck imputation. All steps will be illustrated with simulated and real data examples from both business and household surveys, highlighting the issues unique to different populations. The course will also present some challenges that arise in the implementation of the hot deck, such as having fewer donors than recipients, and discuss various methods for overcoming these challenges. Attendees will be exposed to both the theoretical and practical sides to hot deck imputation, and examples will be illustrated using both SAS and R. Participants should have some familiarity with survey sampling concepts.
Instructor(s): Rebecca Andridge, The Ohio State University College of Public Health; Katherine J Thompson, U.S. Census Bureau
