Arbeitspapier

Does personalized information improve health plan choices when individuals are distracted?

Choice-based health insurance systems allow individuals to select a health plan that fits their needs. However, bounded rationality and limited attention may lead to sub-optimal insurance coverage and higher-than-expected out-of-pocket payments. In this paper, we study the impact of providing personalized information on health plan choices in a laboratory experiment. We seek to more closely mimic real-life choices by randomly providing an incentivized distraction to some individuals. We find that providing personalized information significantly improves health plan choices. The positive effect is even larger and longer-lasting if individuals are distracted from their original task. In addition to providing decision support, receiving personalized information restores the awareness of the choice setting to a level comparable to the case without distraction thus reducing inertia. Our results indicate that increasing transparency of the health insurance system and providing tailored information can help individuals to make better choices and reduce their out-of-pocket expenditures.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 18-08

Klassifikation
Wirtschaft
Health Insurance, Public and Private
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Design of Experiments: Laboratory, Individual
Thema
health insurance choice
decision under uncertainty
limited attention
information
laboratory experiment

Ereignis
Geistige Schöpfung
(wer)
Kaumann, Cornel
Müller, Tobias
Hefti, Andreas
Boes, Stefan
Ereignis
Veröffentlichung
(wer)
University of Bern, Department of Economics
(wo)
Bern
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Kaumann, Cornel
  • Müller, Tobias
  • Hefti, Andreas
  • Boes, Stefan
  • University of Bern, Department of Economics

Entstanden

  • 2018

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