JSM 2004 - Toronto

Abstract #301068

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Activity Number: 342
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301068
Title: Applications of Propensity Scoring for the Medical Expenditure Panel Survey--Insurance Component (MEPS - IC)
Author(s): Steven Riesz*+ and John Sommers and David Kashihara
Companies: U.S. Census Bureau and Agency for Healthcare Research and Quality and Agency for Healthcare Research and Quality
Address: , , ,
Keywords: nonresponse ; post-stratification
Abstract:

The MEPS-IC is an establishment survey, sponsored by the Agency for Healthcare Research and Quality, that collects data about employer-provided health insurance. Currently, weight adjustments for nonresponse and post-stratification are done using a cell-based system, where cells are defined using employment size and industry classification. This system was developed in the first years the survey was conducted when no survey data were available. This system and any new system must consider a three-stage interview process that adjusts for multiple levels of response and nonresponse. This paper discusses the evaluation of a proposed new method to correct for nonresponse and post-stratify the weights. The method will use response-propensity-scoring and raking to produce weights that consider a larger set of variables to correct for nonresponse, and will produce weights whose values have less variation. This method will likely reduce both the bias and the variance of our estimates.

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