JSM 2005 Online Program

Abstract #304830

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	445
Type:	Topic Contributed
Date/Time:	Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Survey Research Methods
Abstract - #304830
Title:	Using Equalization Constraints To Find Optimal Calibration Weights
Author(s):	Reid Alan Rottach*+ and David Warren Hall
Companies:	U.S. Census Bureau and U.S. Census Bureau
Address:	, Washington, DC, 20233-8700,
Keywords:	weight equalization ; integrated weighting ; raking ; variance estimation
Abstract:	Weights used for direct estimation using survey data often are constructed using calibration methods such as benchmarking to auxiliary totals and weight equalization. Benchmarking (forcing certain estimates to match known totals) has been shown to reduce variances for statistics correlated with the auxiliary characteristics, and weight equalization (forcing the weights within higher-level units to be equal) has been shown to further reduce variances for statistics measured on the higher-level units. We will examine the effect of adding a family equalization constraint to person-level calibration weights using data from the 2001 Panel of the Survey of Income and Program Participation. We also consider weights that are an average of those with and without equalization constraints, such that the combined weights minimize variance of income and poverty statistics. Note that the combined weights will maintain the benchmarking constraints.

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