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Partially Identifying the Prevalence of Health Insurance Given Contaminated Sampling Response Error

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Author Info
Kreider, Brent

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Abstract

This paper derives simple closed-form identification regions for the U.S. nonelderly population's prevalence of health insurance coverage in the presence of household reporting errors. The methods extend Horowitz and Manski's (1995) nonparametric analysis of contaminated samples for the case that the outcome is binary. In this case, draws from the alternative distribution (i.e., not the distribution of interest) might naturally be defined as response errors. The derived identification regions can dramatically reduce the degree of uncertainty about the outcome distribution compared with the contaminated sampling bounds. These regions are estimated using data from the Medical Expenditure Panel Survey (MEPS) combined with health insurance validation data available for a nonrandom portion of the sample.

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File URL: http://www.econ.iastate.edu/research/webpapers/paper_12588_06017.pdf
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Publisher Info
Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12588.

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Date of creation: 15 Apr 2006
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Handle: RePEc:isu:genres:12588

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
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Related research
Keywords: contaminated sampling partial identification nonparametric bounds classification error

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
I1 - Health, Education, and Welfare - - Health

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. John V. Pepper, 2000. "The Intergenerational Transmission Of Welfare Receipt: A Nonparametric Bounds Analysis," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 472-488, August. [Downloadable!] (restricted)
  2. Kreider, Brent & Hill, Steven C., 2005. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Staff General Research Papers 12296, Iowa State University, Department of Economics. [Downloadable!]
  3. Berger, Mark C & Black, Dan A & Scott, Frank A, 1998. "How Well Do We Measure Employer-Provided Health Insurance Coverage?," Contemporary Economic Policy, Oxford University Press, vol. 16(3), pages 356-67, July.
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This page was last updated on 2008-9-2.


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