Partially Identifying the Prevalence of Health Insurance Given Contaminated Sampling Response Error
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References listed on IDEAS
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- Saloniki, E-C. & Gosling, A., 2013. "Point identification in the presence of measurement error in discrete variables: application - wages and disability," Health, Econometrics and Data Group (HEDG) Working Papers 13/16, HEDG, c/o Department of Economics, University of York.
- Brent Kreider & John Pepper, 2008.
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- John Pepper & Brent Kreider, 2001. "Inferring Disability Status from Corrupt Data," Virginia Economics Online Papers 354, University of Virginia, Department of Economics.
- Kreider, Brent & Pepper, John V., 2003. "Inferring Disability Status from Corrupt Data," Staff General Research Papers Archive 10228, Iowa State University, Department of Economics.
- Kreider, Brent & Pepper, John, 2008. "Inferring disability status from corrupt data," ISU General Staff Papers 200804010700001637, Iowa State University, Department of Economics.
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More about this item
Keywords
partial identification; nonparametric bounds; contaminated sampling; classification error;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2006-04-29 (Econometrics)
- NEP-HEA-2006-04-29 (Health Economics)
- NEP-IAS-2006-04-29 (Insurance Economics)
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