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Optimal Revelation of Life-Changing Information

Optimal Revelation of Life-Changing Information
Autor:

Nikolaus Schweizer und Nora Szech

Links:
Quelle:

accepted, Management Science

Datum: August 2017

Abstract:

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 without hope.