Abstract

 


 



Yes, No, Perhaps? - Explaining the Demand for Risk Classification Insurance with Incomplete Private Information


Richard Peter


Ludwig-Maximilians-Universität Munich - Faculty of Business Administration (Munich School of Management)

Andreas Richter


Ludwig-Maximilians-Universität Munich - Faculty of Business Administration (Munich School of Management)

Petra Steinorth


affiliation not provided to SSRN

December, 20 2011

Munich Risk and Insurance Center Working Paper No. 1

Abstract:     
We examine the demand for risk classification insurance with incomplete private information using an expected utility set-up. We first demonstrate that standard assumptions on private information cannot explain the observed demand for risk classification insurance. By allowing for incomplete heterogeneous private information, we show that a unique equilibrium exists that can be of the form that some of the individuals buy risk classification insurance while others do not, as observed in real-life insurance markets. We derive a condition for the existence of such an equilibrium and show that this is particularly driven by the risk attitude of the insured, the volatility of outcomes without risk classification insurance and the distribution of information. We also make welfare comparisons and show that in the case of multiple equilibrium candidates the one with the highest portion of risk classification insurance buyers is Pareto superior and, thus, the unique equilibrium.

Number of Pages in PDF File: 28

Keywords: risk classi cation, insurance economics, private information

JEL Classification: D11, D42, D82, G22

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Date posted: December 21, 2011  

Suggested Citation

Peter, Richard, Richter, Andreas and Steinorth, Petra, Yes, No, Perhaps? - Explaining the Demand for Risk Classification Insurance with Incomplete Private Information (December, 20 2011). Munich Risk and Insurance Center Working Paper No. 1. Available at SSRN: http://ssrn.com/abstract=1974919 or http://dx.doi.org/10.2139/ssrn.1974919

Contact Information

Richard Peter (Contact Author)
Ludwig Maximilians University of Munich - Faculty of Business Administration (Munich School of Management) ( email )
Kaulbachstr. 45
Munich, 80539
Germany
Andreas Richter
Ludwig Maximilians University of Munich - Faculty of Business Administration (Munich School of Management) ( email )
Schackstraße 4
Munich, 80539
Germany
Petra Steinorth
affiliation not provided to SSRN ( email )
Feedback to SSRN (Beta)


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