Treatment decisions under ambiguity.

Abstract:

:Many health risks are ambiguous in the sense that reliable and credible information about these risks is unavailable. In health economics, ambiguity is usually handled through sensitivity analysis, which implicitly assumes that people are neutral towards ambiguity. However, empirical evidence suggests that people are averse to ambiguity and react strongly to it. This paper studies the effects of ambiguity aversion on two classical medical decision problems. If there is ambiguity regarding the diagnosis of a patient, ambiguity aversion increases the decision maker's propensity to opt for treatment. On the other hand, in the case of ambiguity regarding the effects of treatment, ambiguity aversion leads to a reduction in the propensity to choose treatment.

journal_name

J Health Econ

authors

Berger L,Bleichrodt H,Eeckhoudt L

doi

10.1016/j.jhealeco.2013.02.001

subject

Has Abstract

pub_date

2013-05-01 00:00:00

pages

559-69

issue

3

eissn

0167-6296

issn

1879-1646

pii

S0167-6296(13)00008-8

journal_volume

32

pub_type

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