Optimal Brokerage Commissions for Fair Insurance: A First Order Approach
Arthur Hau
Additional contact information
Arthur Hau: Lingnan University, Tuen Mun, New Territories, Hong Kong
The Geneva Risk and Insurance Review, 2011, vol. 36, issue 2, 189-201
Abstract:
This paper studies a principal-agent insurance brokerage problem with a risk-averse principal (an insured) and a risk-neutral agent (a broker). The concept of “mean-preserving, spread-reducing” (MPSR) effort is introduced to model the broker's activities. Using the first-order approach, it is shown that under some common conditions, the insured may “concavify” the reward function to induce the risk-neutral agent to exert MPSR brokering effort. These conditions, together with an additional condition, guarantee the validity of the first-order approach even when the monotone likelihood ratio condition (used exclusively to justify the first-order approach) is violated.
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.palgrave-journals.com/grir/journal/v36/n2/pdf/grir201011a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/grir/journal/v36/n2/full/grir201011a.html Link to full text HTML (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:pal:genrir:v:36:y:2011:i:2:p:189-201
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10713
Access Statistics for this article
The Geneva Risk and Insurance Review is currently edited by Michael Hoy and Nicolas Treich
More articles in The Geneva Risk and Insurance Review from Palgrave Macmillan, International Association for the Study of Insurance Economics (The Geneva Association) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().