Moral hazard, adverse selection, and health expenditures: A semiparametric analysis.
Theoretical models predict asymmetric information in health insurance markets may generate inefficient outcomes due to adverse selection and moral hazard. However, previous empirical research has found it difficult to disentangle adverse selection from moral hazard in health care consumption. We pro...
| Publicado en: | RAND Journal of Economics (Wiley-Blackwell) Vol. 45; no. 4; pp. 747 - 764 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Wiley-Blackwell
Winter2014
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=99108141&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 99108141 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07416261 56RJ jtl: RAND Journal of Economics (Wiley-Blackwell) issn: 07416261 maglogo: Y pubinfo: dt: Winter2014 vid: 45 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 99108141 10.1111/1756-2171.12069 ppf: 747 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 336KB tig: atl: Moral hazard, adverse selection, and health expenditures: A semiparametric analysis. aug: au: Bajari, Patrick Dalton, Christina Hong, Han Khwaja, Ahmed affil: University of Washington and NBER Wake Forest University Stanford University Yale University su: Medical care costs Empirical research Structural models Moral hazard Adverse selection (Insurance) sug: subj: Medical care costs Empirical research Structural models Moral hazard Adverse selection (Insurance) ab: Theoretical models predict asymmetric information in health insurance markets may generate inefficient outcomes due to adverse selection and moral hazard. However, previous empirical research has found it difficult to disentangle adverse selection from moral hazard in health care consumption. We propose a two-step semiparametric estimation strategy to identify and estimate a canonical model of asymmetric information in health care markets. With this method, we can estimate a structural model of demand for health care. We illustrate this method using a claims-level data set with confidential information from a large self-insured employer. We find significant evidence of moral hazard and adverse selection. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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