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Big Data and Insurance: Advantageous Selection in European Markets Cover

Big Data and Insurance: Advantageous Selection in European Markets

By: Francesco Corea  
Open Access
|Jun 2017

Abstract

Rothschild and Stiglitz (1976) argued that people signal their risk profile through their insurance demand, i.e. individuals with a high risk profile would buy insurance as much as they can, while people who are not going to buy any insurance are the ones with a lower risk profile. This issue is commonly known as adverse selection. Even if their prediction seems to work quite well in a lot of different markets, Cutler et al. (2008) proved that there exist some insurance markets in United States in which the expected result is completely different. In the wake of this study, we provide empirical evidences that there are some European insurance markets in which the low risk profile agents are the ones who buy more insurance.

Language: English
Submitted on: Nov 7, 2016
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Accepted on: Jun 9, 2017
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Published on: Jun 23, 2017
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Francesco Corea, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.