Partially Identifying the Prevalence of Health Insurance Given Contaminated Sampling Response Error
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References listed on IDEAS
- Mark C. Berger & Dan A. Black & Frank A. Scott, 1998. "How Well Do We Measure Employer-Provided Health Insurance Coverage?," Contemporary Economic Policy, Western Economic Association International, vol. 16(3), pages 356-367, July.
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Eirini-Christina Saloniki & Amanda Gosling, 2012.
"Point identification in the presence of measurement error in discrete variables: application - wages and disability,"
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1214, School of Economics, University of Kent.
- 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.
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More about this item
Keywordspartial identification; nonparametric bounds; contaminated sampling; classification error;
- 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 fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2006-04-29 (All new papers)
- NEP-ECM-2006-04-29 (Econometrics)
- NEP-HEA-2006-04-29 (Health Economics)
- NEP-IAS-2006-04-29 (Insurance Economics)
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