A Framework for Measurement Error in Self-Reported Health Conditions

Perry Singleton and Ling Li

No 191, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: This study develops and estimates a model of measurement error in self-reported health conditions. The model allows self-reports of a health condition to differ from a contemporaneous medical examination, prior medical records, or both. The model is estimated using a two-sample strategy, which combines survey data linked medical examination results and survey data linked to prior medical records. The study finds substantial inconsistencies between self-reported health, the medical record, and prior medical records. The study proposes alternative estimators for the prevalence of diagnosed and undiagnosed conditions and estimates the bias that arises when using self-reported health conditions as explanatory variables.

Keywords: Measurement Error; Disease Prevalence; Diabetes; Hypertension (search for similar items in EconPapers)
JEL-codes: I12 J22 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2016-08
New Economics Papers: this item is included in nep-ecm and nep-hea
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Persistent link: https://EconPapers.repec.org/RePEc:max:cprwps:191

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