Insurance decisions under nonperformance risk and ambiguity
Timo R. Lambregts (),
Paul Bruggen and
Han Bleichrodt
Additional contact information
Timo R. Lambregts: Erasmus University Rotterdam
Paul Bruggen: Tilburg University
Journal of Risk and Uncertainty, 2021, vol. 63, issue 3, No 1, 229-253
Abstract:
Abstract An important societal problem is that people underinsure against risks that are unlikely or occur in the far future, such as natural disasters and long-term care needs. One explanation is that uncertainty about the risk of non-reimbursement induces ambiguity averse and risk prudent decision makers to take out less insurance. We set up an insurance experiment to test this explanation. Consistent with the theoretical predictions, we find that the demand for insurance is lower when the nonperformance risk is ambiguous than when it is known and when decision makers are risk prudent. We cannot attribute the lower take-up of insurance to our measure of ambiguity aversion, probably because ambiguity attitudes are richer than aversion alone.
Keywords: Ambiguity; Insurance; Nonperformance risk; Prudence (search for similar items in EconPapers)
JEL-codes: C91 D81 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://link.springer.com/10.1007/s11166-021-09364-7 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jrisku:v:63:y:2021:i:3:d:10.1007_s11166-021-09364-7
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11166/PS2
DOI: 10.1007/s11166-021-09364-7
Access Statistics for this article
Journal of Risk and Uncertainty is currently edited by W. Kip Viscusi
More articles in Journal of Risk and Uncertainty from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().