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Activity Number:
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149
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #302625 |
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Title:
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The Impact of Income Imputation Using Cascading Partial Income Information in California Health Interview Survey
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Author(s):
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Yifeng J. Chia*+ and Winnie Huang+ and Hongjian Yu
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Companies:
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University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
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Address:
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10960 Wilshire Blvd., Los Angeles, CA, 90024, Center for Health Policy Research, Los Angeles, CA, 90024,
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Keywords:
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Income Imputation ; Cascading sequence ; telephone interview ; California Health Interview Survey
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Abstract:
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The collection of income information is difficult in most survey. High nonresponse rate on income causes the limitation of data use. The income questions in telephone survey are often designed in a cascading sequence of questions in which the interview would ask a cascading sequence of income questions when respondent fails to provide the exact income amount. Using this partial information of income, we can generate the income range to improve the accuracy of income imputation. The paper discusses the characteristics of respondents who provide income information in full, partial or none. The purpose of this paper is to investigate the impact on income imputation by comparing the data from the California Health Interview Survey (CHIS) and Current Population Survey (CPS).
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