Abstract #301500

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JSM 2003 Abstract #301500
Activity Number: 122
Type: Contributed
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301500
Title: Identifying Problems with Raking Estimators
Author(s): Jill M. Montaquila*+ and John Michael Brick and Shelley Brock Roth
Companies: Westat and Westat and Westat
Address: PO Box 80, New Market, MD, 21774-0080,
Keywords: calibration estimation ; poststratification ; auxiliary variables
Abstract:

In sample surveys, raking is often used to calibrate survey weights to external totals and adjust for undercoverage. Raking may be particularly useful when control to several dimensions is desired but sample sizes are too small to use of all the dimensions simultaneously as required with poststratification. However, raking may be problematic and these problems are not always easily identified. Problems may arise when two or more raking dimensions are highly correlated, there are many raking dimensions, there is measurement error in the variables used on one or more dimensions, or there are sparse cells. In this paper, we compare raking to other calibration methods (poststratification and generalized regression) and discuss the relationships among these calibration methods. Additionally, we describe approaches for diagnosing potential problems with raking and discuss methods of addressing these problems when they occur.


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