Abstract #301497

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JSM 2002 Abstract #301497
Activity Number: 41
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods*
Abstract - #301497
Title: Combined Estimates from Four Quarterly Survey Data Sets
Author(s): Esther Friedman*+ and Donsig Jang and Thomas Williams
Affiliation(s): Mathematica Policy Research, Inc. and Mathematica Policy Research, Inc. and TRICARE Management Activity
Address: 600 Maryland Ave, SW Suite 550, Washington, District of Columbia, 20024,
Keywords: Combined estimate ; quarterly survey ; cross-sectional aggregation ; Health Care Survey of Department of Defense Beneficiaries (HCSDB) ; temporal aggregation
Abstract:

In the analysis of survey data, policy researchers are often interested in producing estimates at relatively fine levels of both cross-sectional and temporal aggregation. Selection of specific levels of cross-sectional and temporal aggregation involve inherent trade-offs in precision and substantive relevance. For small cross-sectional domains in which a single survey cannot provide appropriate estimates, combined estimates at the annual level may be attempted. This paper discusses methods to combine four quarterly datasets to produce combined estimates using the Health Care Survey of Department of Defense Beneficiaries (HCSDB).

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Revised March 2002