JSM 2004 - Toronto

Abstract #302268

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Activity Number: 216
Type: Topic Contributed
Date/Time: Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor: Social Statistics Section
Abstract - #302268
Title: Imputing Missing Income Data and Weighting Data with Imputed Income
Author(s): Bidisha Mandal*+ and Elizabeth A. Stasny
Companies: Ohio State University and Ohio State University
Address: 101 Curl Dr., 215 Jones Tower, Columbus, OH, 43210,
Keywords: hot-deck imputation ; mean imputation ; regression imputation ; RDD survey
Abstract:

Income is an important demographic variable in social science research. But income data is more difficult to obtain compared to other demographic information, since it is typically considered to be private and personal. The focus of this research is to try several imputation schemes to account for missing income data and then to use income for weighting the survey data. Specifically, hot deck imputation, mean imputation within adjustment cells, and regression imputation for missing income values are explored. Then weighting using each imputation scheme is carried out, and the resulting estimates for a key survey variable are compared. Weighting is also carried out without income as one of the weighting variables. The purpose is to see how successful imputation has been in replacing missing income data, and how good imputed income is as a weighting variable.


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