Arbeitspapier
Medical insurance and free choice of physician shape patient overtreatment: A laboratory experiment
In a laboratory experiment designed to capture key aspects of the interaction between physicians and patients, we study the effects of medical insurance and competition in the guise of free choice of physician, including observability of physicians' market shares. Medical treatment is an example of a credence good: only the physician knows the appropriate treatment, the patient does not. Even after a consultation, the patient is not sure whether he received the right treatment or whether he was perhaps overtreated. We find that with insurance, moral hazard looms on both sides of the market: patients consult more often and physicians overtreat more often than in the baseline condition. Competition decreases overtreatment compared to the baseline and patients therefore consult more often. When the two institutions are combined, competition is found to partially offset the adverse effects of insurance: most patients seek treatment, but overtreatment is moderated.
- Language
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Englisch
- Bibliographic citation
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Series: WZB Discussion Paper ; No. SP II 2014-307r
- Classification
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Wirtschaft
Design of Experiments: Laboratory, Individual
Analysis of Health Care Markets
Health Insurance, Public and Private
- Subject
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Credence good
Physician
Overtreatment
Competition
Insurance
- Event
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Geistige Schöpfung
- (who)
-
Huck, Steffen
Lünser, Gabriele
Spitzer, Florian
Tyran, Jean-Robert
- Event
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Veröffentlichung
- (who)
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Wissenschaftszentrum Berlin für Sozialforschung (WZB)
- (where)
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Berlin
- (when)
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2016
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Huck, Steffen
- Lünser, Gabriele
- Spitzer, Florian
- Tyran, Jean-Robert
- Wissenschaftszentrum Berlin für Sozialforschung (WZB)
Time of origin
- 2016