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SSRN Electronic Journal
Article
License: CC BY
Data sources: UnpayWall
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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.7892/bor...
Other literature type . 2024
Data sources: Datacite
EconStor
Research . 2010
Data sources: EconStor
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Incentive Compatible Reimbursement Schemes for Physicians

Authors: Winand Emons;

Incentive Compatible Reimbursement Schemes for Physicians

Abstract

Physicians choose capacity before demand materializes; actual demand may be higher or lower than capacity. If a physicians capacity exceeds demand, she may have an incentive to overtreat, i.e., she may provide unnecessary treatments to use up idle capacity. By contrast, with excess demand she may undertreat, i.e., she may not provide necessary treatments because other activities are financially more attractive. We first show that simple fee-for-service reimbursement schemes do not provide proper incentives for all demand realizations. If, however, insurers use fee-for-service schemes with quantity restrictions, they solve the fraudulentphysician problem.

Country
Switzerland
Keywords

Nachfrage, Ökonomischer Anreiz, ddc:330, I11, incentives, Krankenversicherung, Gesundheitsversorgung, medical doctors, expert services, credence goods; demand inducement; expert services; incentives; insurance; medical doctors, D82, credence goods, demand inducement, Ärzte, credence goods; expert services; incentives; medical doctors; demand inducement; insurance, Theorie, insurance, jel: jel:D82, jel: jel:I11

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Average
Average
Green
hybrid