Multidimensional screening in a monopolistic insurance market
AbstractIn this paper, we consider a population of ndividuals who differ in two dimensions: their risk type (expected loss) and their risk aversion. We solve for the profit maximizing menu of contracts that a monopolistic insurer puts out on the market. First, we …nd that it is never optimal to fully separate all the types. Second, if heterogeneity in risk aversion is sufficiently high, then some high-risk individuals (the risk-tolerant ones) will obtain lower coverage than some low-risk individuals (the risk-averse ones). Third, we show that when the average man and woman differ only in risk aversion, gender discrimination may lead to a Pareto improvement.
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Bibliographic InfoPaper provided by Department of Economics, Norwegian School of Economics in its series Discussion Paper Series in Economics with number 19/2011.
Length: 44 pages
Date of creation: 02 Nov 2011
Date of revision:
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Postal: NHH, Department of Economics, Helleveien 30, N-5045 Bergen, Norway
Phone: +47 55 959 277
Fax: 5595 9100
Web page: http://www.nhh.no/sam/
More information through EDIRC
insurance markets; asymmetric information; screening; gender discrimination; positive correlation test.;
Other versions of this item:
- OLIVELLA, Pau & SCHROYEN, Fred, 2011. "Multidimensional screening in a monopolistic insurance market," CORE Discussion Papers 2011056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Pau Olivella & Fred Schroyen, 2012. "Multidimensional Screening in a Monopolistic Insurance Market," Working Papers 619, Barcelona Graduate School of Economics.
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-12-19 (All new papers)
- NEP-CTA-2011-12-19 (Contract Theory & Applications)
- NEP-IAS-2011-12-19 (Insurance Economics)
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