Arbeitspapier

Optimal Revelation of Life-Changing Information

Information about the future may be instrumentally useful, yet scary. For example, many patients shy away from precise genetic tests about their dispositions for severe diseases. They are afraid that a bad test result could render them desperate due to anticipatory feelings. We show that partially revealing tests are typically optimal when anticipatory utility interacts with an instrumental need for information. The same result emerges when patients rely on probability weighting. Optimal tests provide only two signals, which renders them easily implementable. While the good signal is typically precise, the bad one remains coarse. This way, patients have a substantial chance to learn that they are free of the genetic risk in question. Yet even if the test outcome is bad, they do not end in a situation of no hope.

Language
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 5941

Classification
Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Asymmetric and Private Information; Mechanism Design
Subject
test design
revelation of information
design of beliefs
medical tests
anticipatory utility
Huntington’s Disease

Event
Geistige Schöpfung
(who)
Schweizer, Nikolaus
Szech, Nora
Event
Veröffentlichung
(who)
Center for Economic Studies and ifo Institute (CESifo)
(where)
Munich
(when)
2016

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Schweizer, Nikolaus
  • Szech, Nora
  • Center for Economic Studies and ifo Institute (CESifo)

Time of origin

  • 2016

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