Exploring Industry-Level Fairness of Auto Insurance Premiums by Statistical Modeling of Automobile Rate and Classification Data
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Mohamed Hanafy & Ruixing Ming, 2021. "Machine Learning Approaches for Auto Insurance Big Data," Risks, MDPI, vol. 9(2), pages 1-23, February.
- Kuniyoshi Saito, 2006. "Testing for Asymmetric Information in the Automobile Insurance Market Under Rate Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(2), pages 335-356, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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, June.
- Apostolos Ampountolas & Titus Nyarko Nde & Paresh Date & Corina Constantinescu, 2021. "A Machine Learning Approach for Micro-Credit Scoring," Risks, MDPI, vol. 9(3), pages 1-20, March.
- repec:mea:meawpa:12259 is not listed on IDEAS
- Wei‐Jin Wu & Chu‐Shiu Li & Sheng‐Chang Peng, 2020. "The relationships between vehicle characteristics and automobile accidents," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 331-377, December.
- Saito Kuniyoshi & Kato Takaaki & Shimane Tetsuya, 2010. "Traffic Congestion and Accident Externality: A Japan-U.S. Comparison," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, February.
- Jing Ai & Lin Zhao & Wei Zhu, 2016.
"Contracting with Present-Biased Consumers in Insurance Markets,"
The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 41(2), pages 107-148, September.
- Jing Ai & Lin Zhao & Wei Zhu, 2016. "Contracting with Present-Biased Consumers in Insurance Markets," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 41(2), pages 107-148, September.
- Ma, Yu-Luen & Zhu, Xiaoyu & Hu, Xianbiao & Chiu, Yi-Chang, 2018. "The use of context-sensitive insurance telematics data in auto insurance rate making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 243-258.
- 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.
- Wu, T.C. Michael & Yang, C.C., 2012. "The welfare effect of income tax deductions for losses as insurance: Insured- versus insurer-sided adverse selection," Economic Modelling, Elsevier, vol. 29(6), pages 2641-2645.
- ByBenjamin M. Blau & Todd G. Griffith & Ryan J. Whitby, 2022. "Lobbying and lending by banks around the financial crisis by," Public Choice, Springer, vol. 192(3), pages 377-397, September.
- Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
- Ciprian MatiÅŸ & Eugenia MatiÅŸ, 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.
- Imen Karaa, 2018. "Moral Hazard and Learning in the Tunisian Automobile Insurance Market: New Evidence from Dynamic Data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 560-589, July.
- Sebastian Baran & Przemys{l}aw Rola, 2022. "Prediction of motor insurance claims occurrence as an imbalanced machine learning problem," Papers 2204.06109, arXiv.org.
- Cannon, Edmund & Cipriani, Giam Pietro & Bazar-Rosen, Katia, 2014. "Surprising Selection Effects in the UK Car Insurance Market," IZA Discussion Papers 8172, Institute of Labor Economics (IZA).
- 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.
- Dionne, Georges & Michaud, Pierre-Carl & Pinquet, Jean, 2012. "A review of recent theoretical and empirical analyses of asymmetric information in road safety and automobile insurance," Working Papers 12-1, HEC Montreal, Canada Research Chair in Risk Management.
- 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.
- Martin Spindler & Joachim Winter & Steffen Hagmayer, 2014.
"Asymmetric Information in the Market for Automobile Insurance: Evidence From Germany,"
Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 781-801, December.
- Spindler, Martin & Winter, Joachim & Hagmayer, Steffen, 2012. "Asymmetric Information in the Market for Automobile Insurance: Evidence from Germany," MEA discussion paper series 201208, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
- Philippe Donder & Jean Hindriks, 2009. "Adverse selection, moral hazard and propitious selection," Journal of Risk and Uncertainty, Springer, vol. 38(1), pages 73-86, February.
- UCHIDA Hirofumi & UESUGI Iichiro & IWAKI Hiromichi, 2017. "Adverse Selection versus Moral Hazard in Financial Contracting: Evidence from collateralized and non-collateralized loans," Discussion papers 17058, Research Institute of Economy, Trade and Industry (RIETI).
- Kremslehner, Daniela & Muermann, Alexander, 2016. "Asymmetric information in automobile insurance: Evidence from driving behavior," CFS Working Paper Series 543, Center for Financial Studies (CFS).
- Hsu, Yung-Ching & Shiu, Yung-Ming & Chou, Pai-Lung & Chen, Yen-Ming J., 2015. "Vehicle insurance and the risk of road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 201-209.
More about this item
Keywords
insurance risk classification; fairness; rate regulation; generalized linear models; fixed effect models;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jrisks:v:10:y:2022:i:10:p:194-:d:937524. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.