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Activity Number: 530 - SPEED: Survey Research Methods
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 10:30 AM to 11:15 AM
Sponsor: Survey Research Methods Section
Abstract #325207
Title: Donor Selection for MCBS Asset Imputation
Author(s): Kanru Xia* and Meimeizi Zhu and Cheryl L. Sharpless and John C. McCormick and Edward Mulrow
Companies: NORC and NORC and CMS and CMS and NORC
Keywords: Imputation ; MCBS
Abstract:

Income and asset (IA) survey questions are known to have a high non-response rate. To mitigate this, surveys often allow respondents to report a value-range in lieu of an exact value. Still, most population based surveys implement item non-response imputation based on an appropriate respondent donor pool to enhance IA data quality. Prior research of elderly populations has suggested that those who provide value-range responses to asset questions have higher asset values than exact-value responders. Moreover, asset value-range respondents are more representative of item non-responders. We will examine whether IA exact-value respondents differ from value-ranges respondents in IA-related key demographic variables in the Medicare Current Beneficiary Survey (MCBS), a continuous, multipurpose survey of a nationally representative sample of the Medicare population that implemented a new IA questionnaire in 2015. In addition, we will compare IA item non-response imputation using a donor pool of all respondents versus only value-range respondents and see if restricting the donor pool would increase the imputed IA means. Outcomes will provide guidance for future MCBS IA imputation.


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

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