Contract Nonperformance and Ambiguity in Insurance Markets

Andreas Landmann, Christian Biener, Martin Eling and Maria Isabel Santana ()

VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy from Verein für Socialpolitik / German Economic Association

Abstract: Insurance contract nonperformance relates to situations when valid claims are not paid by the insurer. We extend probabilistic insurance models to allow for such nonperformance risk as well as ambiguity regarding nonperformance and loss probabilities. We empirically test theoretical predictions from our model within a field lab experiment in a low-income setting. This is a persuasive context, since especially in emerging and poorly regulated markets there is a higher chance of contract nonperformance. In line with our predictions, insurance demand decreases by 17 percentage points in the presence of contract nonperformance risk and is reduced by a further 14 percentage points when contract nonperformance risk is ambiguous. It also seems that ambiguity does not easily disappear with experience. The results have implications for both industrialized and developing insurance markets.

JEL-codes: C91 D81 G22 (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-ias, nep-rmg and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/113050/1/VfS_2015_pid_364.pdf (application/pdf)

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:zbw:vfsc15:113050

Access Statistics for this paper

More papers in VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy from Verein für Socialpolitik / German Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().