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Non-Risk Price Discrimination in Insurance: Market Outcomes and Public Policy
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“Thirdly, the new policies generally become more expensive during their lifetimes since they are initially underpriced by design (Leiria et al., 2021;Thomas, 2012).”
From Customer price sensitivities in competitive insurance markets (2022) · cites this paper as Thomas, 2012
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Cites
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Phillips, R. L. (2020) · Stanford University Press eBooks · doi:10.1515/9780804781640 · Cited by 603
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Cited by
Mullins, M., Holland, C. P., & Cunneen, M. (2021) · Patterns · doi:10.1016/j.patter.2021.100362 · Cited by 78
The Discriminating (Pricing) Actuary
Frees, E. W. (., & Huang, F. (2023) · North American Actuarial Journal · doi:10.1080/10920277.2021.1951296 · Cited by 56
Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models
Xin, X., & Huang, F. (2024) · North American Actuarial Journal · doi:10.1080/10920277.2023.2190528 · Cited by 43
What is fair? Proxy discrimination vs. demographic disparities in insurance pricing
Lindholm, M., Richman, R., Tsanakas, A., & Wüthrich, M. V. (2024) · Scandinavian Actuarial Journal · doi:10.1080/03461238.2024.2364741 · Cited by 29
Customer price sensitivities in competitive insurance markets
Verschuren, R. M. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117133 · Cited by 19
“Thirdly, the new policies generally become more expensive during their lifetimes since they are initially underpriced by design (Thomas, 2012; Leiria et al., 2021).”
BackgroundLoss Coverage: Why Insurance Works Better with Some Adverse Selection
Thomas, R. G. (2017) · Kent Academic Repository (University of Kent) · doi:10.1017/9781316178843 · Cited by 8
Insurance with heterogeneous preferences
Boonen, T. J., & Liu, F. (2022) · Journal of Mathematical Economics · doi:10.1016/j.jmateco.2022.102742 · Cited by 8
What is fair? Proxy discrimination vs. demographic disparities in insurance pricingPreprint
Lindholm, M., Richman, R., Tsanakas, A., & Wüthrich, M. V. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4436409 · Cited by 8
Południak-Gierz, K., & Tereszkiewicz, P. (2023) · Economic analysis of law in European legal scholarship · doi:10.1007/978-3-031-25059-0_3 · Cited by 6
Regulating Telematics Insurance
van den Boom, F. (2020) · AIDA Europe research series on insurance law and regulation · doi:10.1007/978-3-030-52738-9_12 · Cited by 6
The dark side of big data: Personal privacy, data security, and price discrimination
Liu, Y., & Greene, C. (2020) · Digital Transformation in Business and Society · doi:10.1007/978-3-030-08277-2_9 · Cited by 6
Digital Ethics: The issue of images
(2022) · Nomos Verlagsgesellschaft mbH & Co. KG eBooks · doi:10.5771/9783748934011 · Cited by 1
Discussion on “The Discriminating (Pricing) Actuary,” by Edward W. (Jed) Frees and Fei Huang
Thomas, R. G. (2022) · North American Actuarial Journal · doi:10.1080/10920277.2022.2078373 · Cited by 1
A Blockchain-Based Protocol for Malicious Price Discrimination
Xue, L., Liu, Y., Yang, W., Chen, W., & Huang, L. (2022) · Journal of Computer Science and Technology · doi:10.1007/s11390-021-0583-x · Cited by 1
Strategic customer relationship marketing and re-intermediation models in the insurance industry
Brain, A. L. (2014) · Cited by 1
Optimal Feature-Based Market Segmentation and PricingPreprint
Cui, T., & Hamilton, M. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4151103 · Cited by 1
Price Optimisation and Statistical Modeling of Dependent Risks
Tamraz, M. (2018) · IRIS
Qian, M. (2021) · International Conference on Big Data Economy and Information Management (BDEIM) · doi:10.1109/bdeim55082.2021.00081
Fundamentals of Actuarial Pricing
Arthur Charpentier, A. (2024) · Springer Actuarial · doi:10.1007/978-3-031-49783-4_2
DPTree and DPForest: tree-based methods fulfilling demographic parity
Simon, P.-A., Denuit, M. M., & Trufin, J. (2025) · Annals of Actuarial Science · doi:10.1017/s1748499525100092 · Cited by 1
Optimal Feature-Based Market Segmentation and Pricing
Cui, T., & Hamilton, M. (2026) · Operations Research · doi:10.1287/opre.2022.0490
Adversarial mitigation to reduce unwanted biases in machine learning
Grari, V. (2022) · theses.fr (ABES) · doi:10.70675/df2cbae5zd700z4b62z845dz004fa5581c09 · Cited by 1
Metadata
- Authors
- Guy Thomas, R.
- Venue
- The Geneva Papers on Risk and Insurance - Issues and Practice
- Published
- 2012-01
- Volume
- 37
- Issue
- 1
- Pages
- 27-46
- ISSN
- 1018-5895 (ISSN-L)
- 1468-0440
- OpenAlex
- W2036335221
- Cited by
- 22
- References
- 25
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 7 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2014: 1
- FWCI
- 0.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The Geneva Papers on Risk and Insurance Issues and Practice (publishedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Insurance and Financial Risk Management
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Merger and Competition Analysis
- Keywords
- price discrimination, insurance pricing, customer switching, insurance market competition, industry profits, consumer welfare, insurance regulation, risk-based pricing
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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