Abstract #300846

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JSM 2003 Abstract #300846
Activity Number: 52
Type: Contributed
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #300846
Title: Effect of Collapsing Rows/Columns of Weighting Matrix on Weights
Author(s): Jay Jong-Ik Kim*+
Companies: National Center for Health Statistics
Address: Office of Research and Methodology, Hyattsville, MD, 20872,
Keywords: weighting matrix ; weight ; collapsing of rows/columns ; coverage ratio ; criteria for collapsing rows/columns
Abstract:

Estimation by sampling involves (i) sample design, (ii) data collection, (iii) weighting (iterational proportional fitting) the sample data in a weighting matrix and (iv) tabulation of counts using the weights. Before the iterational proportional fitting is performed, ratio and minimum criteria are checked for each row/column of the matrix. If either is not met for a row/column, the row/column is collapsed with another row/column, which is similar in characteristics, disregarding coverage ratios of the collapsed rows/columns. As a result, a portion of the weights due to sample units in a row/column with a lower coverage ratio can be shifted to those in another row/column with a higher ratio. If an estimate of a characteristic is based on the sample units in the row/column with the lower ratio, it bounds to be an underestimate. This paper demonstrates the impact on the weights of the collapsing rows/columns with disparate coverage ratios and proposes some corrective measures.

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