What is fair? Proxy discrimination vs. demographic disparities in insurance pricing-Reference-Cited by-同舟云学术

What is fair? Proxy discrimination vs. demographic disparities in insurance pricing

Author:

Lindholm Mathias¹^ORCID,Richman Ronald²³,Tsanakas Andreas⁴^ORCID,Wüthrich Mario V.⁵

Affiliation:

1. Department of Mathematics, Stockholm University, Stockholm, Sweden

2. Actuarial Function, Old Mutual Insure, Johannesburg, South Africa

3. Department of Statistics and Actuarial Science, University of the Witwatersrand, Johannesburg, South Africa

4. Bayes Business School (Formerly Cass), City, University of London, London, UK

5. RiskLab, Department of Mathematics, ETH Zurich, Zurich, Switzerland

Funder

Stiftelsen Länsförsäkringsgruppens Forsknings- och Utvecklingsfond

Publisher

Informa UK Limited

Link

Reference53 articles.

1. Agarwal A. Dudik M. & Wu Z. S. (2019). Fair regression: Quantitative definitions and reduction-based algorithms. arXiv: 1905.12843.

3. Understanding insurance anti-discrimination laws;Avraham R.;Southern California Law Review,2014

4. Awasthi P. Cortes C. Mansour Y. & Mohri M. (2020). Beyond individual and group fairness. arXiv: 2008.09490.

5. Barocas S. Hardt M. & Narayanan A. (2019). Fairness and machine learning: Limitations and opportunities. https://fairmlbook.org/

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