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Activity Number:
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208
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 3, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Social Statistics Section
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| Abstract - #303763 |
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Title:
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Imputing medical out of pocket (MOOP) expenditures using SIPP and MEPS
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Author(s):
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Sharon I. O'Donnell*+
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Companies:
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U.S. Census Bureau
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Address:
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4600 Silver Hill Road, Washington , DC, 20233,
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Keywords:
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statistical matching ; poverty measures ; medical expenditure measure ; predicted mean matching ; imputation
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Abstract:
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In this paper, we compare two parametric statistical matching methods used to generate synthetic medical out of pocket expenditure (MOOP) data. The methods differ by the mechanism used to assign synthetic values to the observations on the recipient survey.The model developed by Betson (2001) uses random assignment while the predicted mean matching method is a parametric version of cold deck imputation. Sensitivity analysis determined the extent to which the models preserved marginal and joint distributions of the host survey data and tested the overall stability of each model.
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