Separating Moral Hazard from Adverse Selection and Learning in Automobile Insurance: Longitudinal Evidence from France
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- Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2013. "Separating Moral Hazard From Adverse Selection And Learning In Automobile Insurance: Longitudinal Evidence From France," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 897-917, August.
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- Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366.
- repec:bla:jrinsu:v:84:y:2017:i:4:p:1103-1126 is not listed on IDEAS
- repec:eee:eecrev:v:101:y:2018:i:c:p:230-249 is not listed on IDEAS
- Alma Cohen & Peter Siegelman, 2010.
"Testing for Adverse Selection in Insurance Markets,"
Journal of Risk & Insurance,
The American Risk and Insurance Association, vol. 77(1), pages 39-84.
- Alma Cohen & Peter Siegelman, 2009. "Testing for Adverse Selection in Insurance Markets," NBER Working Papers 15586, National Bureau of Economic Research, Inc.
- repec:pal:gpprii:v:43:y:2018:i:1:d:10.1057_s41288-017-0055-2 is not listed on IDEAS
- Dionne, Georges & Michaud, Pierre-Carl & Pinquet, Jean, 2013.
"A review of recent theoretical and empirical analyses of asymmetric information in road safety and automobile insurance,"
Research in Transportation Economics,
Elsevier, vol. 43(1), pages 85-97.
- Georges Dionnne & Pierre-Carl Michaud & Jean Pinquet, 2012. "A Review of Recent Theoretical and Empirical Analyses of Asymmetric Information in Road Safety and Automobile Insurance," Cahiers de recherche 1204, CIRPEE.
- Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
- Loukas Balafoutas & Rudolf Kerschbamer & Matthias Sutter, 2017.
"Second‐Degree Moral Hazard In A Real‐World Credence Goods Market,"
Royal Economic Society, vol. 127(599), pages 1-18, February.
- Loukas Balafoutas & Rudolf Kerschbamer & Matthias Sutter, 2013. "Second-Degree Moral Hazard in a Real-World Credence Goods Market," Economics Working Papers ECO2013/08, European University Institute.
- Balafoutas, Loukas & Kerschbamer, Rudolf & Sutter, Matthias, 2013. "Second-Degree Moral Hazard in a Real-World Credence Goods Market," IZA Discussion Papers 7714, Institute for the Study of Labor (IZA).
- Loukas Balafoutas & Rudolf Kerschbamer & Matthias Sutter, 2013. "Second-Degree Moral Hazard in a Real-World Credence Goods Market," Working Papers 2013-26, Faculty of Economics and Statistics, University of Innsbruck.
- Loukas Balafoutas & Rudolf Kerschbamer & Matthias Sutter, 2013. "Second-Degree Moral Hazard in a Real-World Credence Goods Market," CESifo Working Paper Series 4458, CESifo Group Munich.
- repec:ipf:psejou:v:42:y:2018:i:42:p:45-65 is not listed on IDEAS
- Georges Dionne & Kili Wang, 2013. "Does insurance fraud in automobile theft insurance fluctuate with the business cycle?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 67-92, August.
- Ciprian Matis & Eugenia Matis, 2013. "Asymmetric Information In Insurance Field: Some General Considerations," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 1-17.
- repec:pal:gpprii:v:43:y:2018:i:3:d:10.1057_s41288-017-0072-1 is not listed on IDEAS
- Bernard Salanié, 2017. "Equilibrium in Insurance Markets: An Empiricist’s View," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(1), pages 1-14, March.
- Georges Dionne, 2012. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud and Dynamic Data," Cahiers de recherche 1233, CIRPEE.
- Peng Shi & Wei Zhang, 2016. "A Test of Asymmetric Learning in Competitive Insurance With Partial Information Sharing," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 557-578, September.
- Magali Chaudey, 2017. "Why test the theory of incentives in a dynamic framework?," Working Papers 1733, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
- Shi, Peng & Valdez, Emiliano A., 2011. "A copula approach to test asymmetric information with applications to predictive modeling," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 226-239, September.
- Biener, Christian & Eling, Martin & Landmann, Andreas & Pradhan, Shailee, 2018.
"Can group incentives alleviate moral hazard? The role of pro-social preferences,"
European Economic Review,
Elsevier, vol. 101(C), pages 230-249.
- Biener, Christian & Eling, Martin & Pradhan, Shailee, 2016. "Can Group Incentives Alleviate Moral Hazard? The Role of Pro-Social Preferences," Working Papers on Finance 1610, University of St. Gallen, School of Finance, revised Nov 2016.
- Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse Selection in Insurance Contracting," Cahiers de recherche 1231, CIRPEE.
- Vukina, Tomislav & Nestić, Danijel, 2015. "Do people drive safer when accidents are more expensive: Testing for moral hazard in experience rating schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 46-58.
- Dionne, Georges & Liu, Ying, 2017. "Effects of Insurance Incentives on Road Safety: Evidence from a Natural Experiment in China," Working Papers 17-1, HEC Montreal, Canada Research Chair in Risk Management.
- repec:bla:jrinsu:v:84:y:2017:i:4:p:1269-1293 is not listed on IDEAS
More about this item
KeywordsMoral hazard; adverse selection; learning; dynamic insurance contracting; panel data; empirical test;
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-02 (All new papers)
- NEP-CTA-2010-10-02 (Contract Theory & Applications)
- NEP-IAS-2010-10-02 (Insurance Economics)
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