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Genetic testing and genetic discrimination: Public policy when insurance becomes "too expensive".
Posey, Lisa L; Thistle, Paul D.
Affiliation
  • Posey LL; Department of Risk Management, Pennsylvania State University, 369 Business Building University Park, PA, 16802, United States. Electronic address: llp3@psu.edu.
  • Thistle PD; Department of Finance, Lee Business School, University of Nevada, Las Vegas, 4505 Maryland Parkway, Box 456008, Las Vegas, NV, 89154-6008, United States. Electronic address: paul.thistle@unlv.edu.
J Health Econ ; 77: 102441, 2021 05.
Article de En | MEDLINE | ID: mdl-33676198
ABSTRACT
We examine public policy toward the use of genetic tests by insurers when a positive test makes actuarially fair insurance too expensive for some consumers. With state-dependent utility, consumers may decline actuarially fair insurance if the probability of becoming ill exceeds a threshold. In markets with adverse selection, a positive genetic test may cause all or some high risks to drop out of the market (complete and partial genetic discrimination, respectively). Full participation in the market by all consumers requires cross-subsidization. We show that the consent law and mandatory testing are equivalent. Under complete genetic discrimination, the duty to disclose is never Pareto dominated, but either the code of conduct or consent law can yield the same outcome. Under partial genetic discrimination, the duty to disclose is never Pareto dominated. However, partial genetic discrimination and cross-subsidization imply the information ban is noncomparable to the other policy alternatives.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Dépistage génétique / Compagnies d'assurance Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: J Health Econ Sujet du journal: HOSPITAIS / SERVICOS DE SAUDE Année: 2021 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Dépistage génétique / Compagnies d'assurance Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: J Health Econ Sujet du journal: HOSPITAIS / SERVICOS DE SAUDE Année: 2021 Type de document: Article