JSM 2005 - Toronto

Abstract #303107

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 406
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #303107
Title: A Simulation Study of Cell Collapsing in Poststratification
Author(s): Jay J. Kim*+ and Richard L. Valliant and Linda Tompkins
Companies: National Center for Health Statistics and University of Michigan and National Center for Health Statistics
Address: 3311 Toledo Rd, Hyattsville, MD, 20782, United States
Keywords: Poststratification ; coverage ratio ; cell collapsing ; bias ; variance
Abstract:

Poststratification is a common method of estimation in household surveys. Cells are formed based on characteristics known for all sample respondents and for which external control counts are available from a census or other source. The inverses of the poststratification adjustments usually are referred to as coverage ratios. Coverage of demographic groups may be substantially below 100%, and poststratifying serves to correct for biases due to poor coverage. A standard procedure in poststratification is to collapse or combine cells when the sample sizes fall below some minimum or the weight adjustments are above some maximum. Collapsing may decrease the variance of an estimate, but simultaneously increase its bias. We study the effects on bias and variance of this type of dynamic cell collapsing through simulation using a population based on the 2003 National Health Interview Survey.

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Revised March 2005