Skip to main content

Fundamentals of Actuarial Pricing

  • Chapter
  • First Online:
Insurance, Biases, Discrimination and Fairness

Part of the book series: Springer Actuarial ((SPACT))

  • 60 Accesses

Abstract

Insurance is the contribution of the few to the misfortune of the many” is a simple way to describe what insurance is. But it doesn’t say what the “contribution” should be, to be fair. In this chapter, we return to the fundamentals of pricing and risk sharing, and at the end we mention other models used in insurance (to predict future payments to be provisioned, to create a fraud score, etc.).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Lecturer in private law, UFR of Law, Le Mans University, member of Thémis-UM and Ceprisca.

  2. 2.
    The Greek word genos translates to race, kind, or type.

    is the etymological source of “gender,” and not “gene,” based on

    The Greek word reads gamma, epsilon, nu, epsilon, alpha.

    from the aorist infinitive of

    The Greek letter reads gamma, iota, gamma, nu, omicron, mu, alpha, iota.

    I come into being.

  3. 3.

    Denuit and Charpentier (2004) discuss the mathematical formalism that allows such a writing. In particular, the expectation is calculated according to a probability \(\mathbb {P}\) corresponding to the “historical” probability (there is no law of one price in insurance, contrary to the typical approach in market finance, in the sense of Froot et al. (1995). This will be discussed further in Sect. 3.1.1.). Insurance, like econometrics, is formalized in a probabilistic world, perhaps unlike many machine learning algorithms which are derived without a probabilistic model, as discussed in Charpentier et al. (2018).

  4. 4.

    Without discounting, as death is (at an infinite time horizon) certain, the pure premium would be exactly the amount of the capital paid to the beneficiaries.

  5. 5.

    \(\Phi \) is here the distribution function of the centered and reduced normal distribution, \(\mathcal {N}(0,1)\).

  6. 6.

    Formally, property covers a home (physical building) and the belongings in it from all losses such as fire, theft, etc., or covers damage to a car when involved in an accident, including protection from damage/loss caused by other factors such as fire, vandalism, etc. Causality involves coverage if one is being held responsible for someone injuring themselves on his or her property, or if one were to cause any damage to someone else’s property, and coverage if one gets into an accident and causes injuries to someone else or damage to their car.

  7. 7.

    See https://www.soa.org/about/governance/about-code-of-professional-conduct/.

References

  • Ahima RS, Lazar MA (2013) The health risk of obesity–better metrics imperative. Science 341(6148):856–858

    Article  Google Scholar 

  • Akerlof GA (1970) The market for “lemons”: Quality uncertainty and the market mechanism. Q J Econ 84(3):488–500

    Article  Google Scholar 

  • American Academy of Actuaries (2011) Market consistent embedded value. Life Financial Reporting Committee

    Google Scholar 

  • Arrow KJ (1963) Uncertainty and the welfare economics of medical care. Am Econ Rev 53:941–973

    Google Scholar 

  • Artıs M, Ayuso M, Guillen M (1999) Modelling different types of automobile insurance fraud behaviour in the spanish market. Insurance Math Econ 24(1–2):67–81

    Article  Google Scholar 

  • Artís M, Ayuso M, Guillén M (2002) Detection of automobile insurance fraud with discrete choice models and misclassified claims. J Risk Insurance 69(3):325–340

    Article  Google Scholar 

  • Bailey RA, Simon LJ (1959) An actuarial note on the credibility of experience of a single private passenger car. Proc Casualty Actuarial Soc XLVI:159

    Google Scholar 

  • Baker T (2011) Health insurance, risk, and responsibility after the patient protection and affordable care act. University of Pennsylvania Law Review 1577–1622

    Google Scholar 

  • Baker T, Simon J (2002) Embracing risk: the changing culture of insurance and responsibility. University Chicago Press, Chicago

    Google Scholar 

  • Ban GY, Keskin NB (2021) Personalized dynamic pricing with machine learning: High-dimensional features and heterogeneous elasticity. Manag Sci 67(9):5549–5568

    Article  Google Scholar 

  • Belhadji EB, Dionne G, Tarkhani F (2000) A model for the detection of insurance fraud. Geneva papers on risk and insurance issues and practice, pp 517–538

    Google Scholar 

  • Benjamin B, Michaelson R (1988) Mortality differences between smokers and non-smokers. J Inst Actuaries 115(3):519–525

    Article  Google Scholar 

  • Bernoulli J (1713) Ars conjectandi: opus posthumum: accedit Tractatus de seriebus infinitis; et Epistola gallice scripta de ludo pilae reticularis. Impensis Thurnisiorum

    Google Scholar 

  • Bigot R, Cayol A (2020) Le droit des assurances en tableaux. Ellipses

    Google Scholar 

  • Blanpain N (2018) L’espérance de vie par niveau de vie-méthode et principaux résultats. INSEE Document de Travail F1801

    Google Scholar 

  • Boonekamp C, Donaldson D (1979) Certain alternatives for price uncertainty. Canad J Econ Revue canadienne d’Economique 12(4):718–728

    Article  Google Scholar 

  • Boonen TJ, Liu F (2022) Insurance with heterogeneous preferences. J Math Econ 102:102742

    Article  MathSciNet  Google Scholar 

  • Borch K (1962) Application of game theory to some problems in automobile insurance*. ASTIN Bull J IAA 2(2):208–221

    Article  MathSciNet  Google Scholar 

  • Bowles S, Gintis H (2004) The evolution of strong reciprocity: cooperation in heterogeneous populations. Theor Popul Biol 65(1):17–28

    Article  Google Scholar 

  • Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. Taylor & Francis, London

    Google Scholar 

  • Brockett PL, Xia X, Derrig RA (1998) Using kohonen’s self-organizing feature map to uncover automobile bodily injury claims fraud. J Risk Insurance, 245–274

    Google Scholar 

  • Buchanan R, Priest C (2006) Deductible. Encyclopedia of Actuarial Science

    Google Scholar 

  • Bugbee M, Matthews B, Callanan S, Ewert J, Guven S, Boison L, Liao C (2014) Price optimization overview. Casualty Actuarial Society

    Google Scholar 

  • Calders T, Žliobaite I (2013) Why unbiased computational processes can lead to discriminative decision procedures. In: Discrimination and privacy in the information society, pp 43–57. Springer, New York

    Chapter  Google Scholar 

  • Callahan A (2021) Is bmi a scam. The New York Times May 18th

    Google Scholar 

  • Cardano G (1564) Liber de ludo aleae. Franco Angeli

    Google Scholar 

  • Cassedy JH (2013) Demography in early America. Harvard University Press, Harvard

    Google Scholar 

  • Castelvecchi D (2016) Can we open the black box of ai? Nature News 538(7623):20

    Article  Google Scholar 

  • Central Bank of Ireland (2021) Review of differential pricing in the private car and home insurance markets. Central Bank of Ireland Publications, Dublin, Ireland

    Google Scholar 

  • Charpentier A (2014) Computational actuarial science with R. CRC Press, Boca Raton

    Book  Google Scholar 

  • Charpentier A, Flachaire E, Ly A (2018) Econometrics and machine learning. Economie et Statistique 505(1):147–169

    Google Scholar 

  • Chassagnon A (1996) Sélection adverse: modèle générique et applications. PhD thesis, Paris, EHESS

    Google Scholar 

  • Chaufton A (1886) Les assurances, leur passé, leur présent, leur avenir, au point de vue rationnel, technique et pratique, moral, économique et social, financier et administratif, légal, législatif et contractuel, en France et à l’étranger. Chevalier-Marescq

    Google Scholar 

  • Chetty R, Stepner M, Abraham S, Lin S, Scuderi B, Turner N, Bergeron A, Cutler D (2016) The association between income and life expectancy in the United States, 2001–2014. JAMA 315(16):1750–1766

    Article  Google Scholar 

  • Corlier F (1998) Segmentation : le point de vue de l’assureur. In: Cousy H, Classens H, Van Schoubroeck C (eds) Compétitivité, éthique et assurance. Academia Bruylant

    Google Scholar 

  • Cresta J, Laffont J (1982) The value of statistical information in insurance contracts. GREMAQ Working Paper 8212

    Google Scholar 

  • Crocker KJ, Snow A (2013) The theory of risk classification. In: Loubergé H, Dionne G (eds) Handbook of insurance, pp 281–313. Springer, New York

    Chapter  Google Scholar 

  • Dalziel JR, Job RS (1997) Motor vehicle accidents, fatigue and optimism bias in taxi drivers. Accident Analy Prevent 29(4):489–494

    Article  Google Scholar 

  • Daniels N (1990) Insurability and the hiv epidemic: ethical issues in underwriting. Milbank Q, 497–525

    Google Scholar 

  • Davenport T (2006) Competing on analytics. Harvard Bus Rev 84:1–10

    Google Scholar 

  • De Alba E (2004) Bayesian claims reserving. Encyclopedia of Actuarial Science

    Google Scholar 

  • De Pril N, Dhaene J (1996) Segmentering in verzekeringen. DTEW Research Report 9648, pp 1–56

    Google Scholar 

  • De Wit GW, Van Eeghen J (1984) Rate making and society’s sense of fairness. ASTIN Bull J IAA 14(2):151–163

    Article  Google Scholar 

  • De Witt J (1671) Value of life annuities in proportion to redeemable annuities. Originally in Dutch Translated in Hendriks (1853), pp 232–49

    Google Scholar 

  • Demakakos P, Biddulph JP, Bobak M, Marmot MG (2016) Wealth and mortality at older ages: a prospective cohort study. J Epidemiol Community Health 70(4):346–353

    Article  Google Scholar 

  • Denuit M, Charpentier A (2004) Mathématiques de l’assurance non-vie: Tome I Principes fondamentaux de théorie du risque. Economica. Paris, France

    Google Scholar 

  • Denuit M, Charpentier A (2005) Mathématiques de l’assurance non-vie: Tome II Tarification et provisionnement. Economica. Paris, France

    Google Scholar 

  • Denuit M, Maréchal X, Pitrebois S, Walhin JF (2007) Actuarial modelling of claim counts: Risk classification, credibility and bonus-malus systems. Wiley, New York

    Book  Google Scholar 

  • Derrig RA, Ostaszewski KM (1995) Fuzzy techniques of pattern recognition in risk and claim classification. J Risk Insurance, 447–482

    Google Scholar 

  • Derrig RA, Weisberg HI (1998) Aib pip claim screening experiment final report. understanding and improving the claim investigation process. AIB Filing on Fraudulent Claims Payment

    Google Scholar 

  • Dingman H (1927) Insurability, prognosis and selection. The spectator company

    Google Scholar 

  • Dionne G (2000) Handbook of insurance. Springer, New York

    Book  Google Scholar 

  • Dionne G (2013) Contributions to insurance economics. Springer, New York

    Google Scholar 

  • Dionne G, Harrington SE (1992) An introduction to insurance economics. Springer, New York

    Book  Google Scholar 

  • Dublin L (1925) Report of the joint committee on mortality of the association of life insurance medical directors. The Actuarial Society of America

    Google Scholar 

  • Duggan JE, Gillingham R, Greenlees JS (2008) Mortality and lifetime income: evidence from us social security records. IMF Staff Papers 55(4):566–594

    Article  Google Scholar 

  • Duncan A, McPhail M (2013) Price optimization for the us market. techniques and implementation strategies.”. In: Ratemaking and Product Management Seminar

    Google Scholar 

  • Eisen R, Eckles DL (2011) Insurance economics. Springer, New York

    Google Scholar 

  • Ewald F (1986) Histoire de l’Etat providence: les origines de la solidarité. Grasset

    Google Scholar 

  • Feiring E (2009) reassessing insurers’ access to genetic information: genetic privacy, ignorance, and injustice. Bioethics 23(5):300–310

    Article  Google Scholar 

  • Feller W (1957) An introduction to probability theory and its applications. Wiley, New York

    Google Scholar 

  • Finkelstein EA, Brown DS, Wrage LA, Allaire BT, Hoerger TJ (2010) Individual and aggregate years-of-life-lost associated with overweight and obesity. Obesity 18(2):333–339

    Article  Google Scholar 

  • Fontaine KR, Redden DT, Wang C, Westfall AO, Allison DB (2003) Years of life lost due to obesity. J Am Med Assoc 289(2):187–193

    Article  Google Scholar 

  • Frezal S, Barry L (2019) Fairness in uncertainty: Some limits and misinterpretations of actuarial fairness. J Bus Ethics 167(1):127–136

    Article  Google Scholar 

  • Froot KA, Kim M, Rogoff KS (1995) The law of one price over 700 years. National Bureau of Economic Research (NBER) 5132

    Google Scholar 

  • Gandy OH (2016) Coming to terms with chance: Engaging rational discrimination and cumulative disadvantage, Routledge

    Google Scholar 

  • Gintis H (2000) Strong reciprocity and human sociality. J Theor Biol 206(2):169–179

    Article  Google Scholar 

  • Gollier C (2002) La solidarité sous l’angle économique. Revue Générale du Droit des Assurances, pp 824–830

    Google Scholar 

  • Gompertz B (1825) On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philos Trans Roy Soc Lond 115:513–583

    Article  Google Scholar 

  • Gompertz B (1833) On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. in a letter to francis baily, esq. frs &c. by benjamin gompertz, esq. fr s. Philos Trans Roy Soc Lond 2:252–253

    Google Scholar 

  • Gouriéroux C (1999) The econometrics of risk classification in insurance. Geneva Papers Risk Insurance Theory 24(2):119–137

    Article  Google Scholar 

  • Gourieroux C (1999) Statistique de l’assurance. Economica

    Google Scholar 

  • Gourieroux C, Jasiak J (2007) The econometrics of individual risk. Princeton University Press, Princeton

    Book  Google Scholar 

  • Guelman L, Guillén M, Pérez-Marín AM (2012) Random forests for uplift modeling: an insurance customer retention case. In: International conference on modeling and simulation in engineering, economics and management, pp 123–133. Springer, New York

    Google Scholar 

  • Guillen M (2006) Fraud in insurance. Encyclopedia of Actuarial Science

    Google Scholar 

  • Guillen M, Ayuso M (2008) Fraud in insurance. Encyclopedia of Quantitative Risk Analysis and Assessment 2

    Google Scholar 

  • Guven S, McPhail M (2013) Beyond the cost model: Understanding price elasticity and its applications. In: Casualty actuarial society E-forum, Spring 2013, Citeseer

    Google Scholar 

  • He Y, Xiong Y, Tsai Y (2020) Machine learning based approaches to predict customer churn for an insurance company. In: 2020 Systems and Information Engineering Design Symposium (SIEDS), pp 1–6. IEEE

    Google Scholar 

  • Heras AJ, Pradier PC, Teira D (2020) What was fair in actuarial fairness? Hist Human Sci 33(2):91–114

    Article  Google Scholar 

  • Hesselager O, Verrall R (2006) Reserving in non-life insurance. Encyclopedia of Actuarial Science

    Google Scholar 

  • Hillier R (2022) The legal challenges of insuring against a pandemic. In: Pandemics: insurance and social protection, pp 267–286. Springer, Cham

    Chapter  Google Scholar 

  • Hiltzik M (2013) Yes, men should pay for pregnancy coverage and here’s why. Los Angeles Times November 1st

    Google Scholar 

  • Hoffman FL (1931) Cancer and smoking habits. Ann Surg 93(1):50

    Article  Google Scholar 

  • Homans S, Phillips GW (1868) Tontine dividend life assurance policies. Equitable Life Assurance Society of the United States

    Google Scholar 

  • Houston R (1992) Mortality in early modern scotland: the life expectancy of advocates. Continuity Change 7(1):47–69

    Article  Google Scholar 

  • Ingold D, Soper S (2016) Amazon doesn’t consider the race of its customers. should it? Bloomberg April 21st

    Google Scholar 

  • Jerry RH (2023) Understanding parametric insurance: A potential tool to help manage pandemic risk. In: Covid-19 and insurance, pp 17–62. Springer, New York

    Chapter  Google Scholar 

  • Johnston L (1945) Effects of tobacco smoking on health. British Med J 2(4411):98

    Article  Google Scholar 

  • Keys A, Fidanza F, Karvonen MJ, Kimura N, Taylor HL (1972) Indices of relative weight and obesity. J Chronic Dis 25(6–7):329–343

    Article  Google Scholar 

  • Kimball SL (1979) Reverse sex discrimination: Manhart. Am Bar Foundation Res J 4(1):83–139

    Article  Google Scholar 

  • Kitagawa EM, Hauser PM (1973) Differential mortality in the united states. In: Differential mortality in the United States. Harvard University Press, Harvard

    Book  Google Scholar 

  • Kitchin R (2017) Thinking critically about and researching algorithms. Inf Commun Soc 20(1):14–29

    Article  Google Scholar 

  • Kohlleppel L (1983) Multidimensional market signalling. Institut für Gesellschafts und Wirtschaftswissenschaften, Wirtschaftstheoretische Abteilung

    Google Scholar 

  • Kolmogorov A (1933) Grundbegriffe der wahrscheinlichkeitsrechnung

    Google Scholar 

  • Kotchen TA (2011) Historical trends and milestones in hypertension research: a model of the process of translational research. Hypertension 58(4):522–538

    Article  Google Scholar 

  • Krikler S, Dolberger D, Eckel J (2004) Method and tools for insurance price and revenue optimisation. J Financ Serv Market 9(1):68–79

    Article  Google Scholar 

  • Laffont JJ, Martimort D (2002) The theory of incentives: the principal-agent model, pp 273–306. Princeton University Press, Princeton

    Book  Google Scholar 

  • Landes X (2015) How fair is actuarial fairness? J Bus Ethics 128(3):519–533

    Article  Google Scholar 

  • Lasry JM (2015) La rencontre choc de l’assurance et du big data. Risques 103:19–24

    Google Scholar 

  • Lebesgue H (1918) Remarques sur les théories de la mesure et de l’intégration. Ann scientifiques de l’École Normale Supérieure 35:191–250

    Article  MathSciNet  Google Scholar 

  • Lee RD, Carter LR (1992) Modeling and forecasting us mortality. J Am Stat Assoc 87(419):659–671

    Google Scholar 

  • Lemaire J, Park SC, Wang KC (2016) The use of annual mileage as a rating variable. ASTIN Bull J IAA 46(1):39–69

    Article  MathSciNet  Google Scholar 

  • Levantesi S, Pizzorusso V (2019) Application of machine learning to mortality modeling and forecasting. Risks 7(1):26

    Article  Google Scholar 

  • Löffler M, Münstermann B, Schumacher T, Mokwa C, Behm S (2016) Insurers need to plug into the internet of things–or risk falling behind. European Insurance

    Google Scholar 

  • Maynard A (1979) Pricing, insurance and the national health service. J Soc Pol 8(2):157–176

    Article  Google Scholar 

  • Meilijson I (2006) Risk aversion. Encyclopedia of Actuarial Science

    Google Scholar 

  • Meyers G, Van Hoyweghen I (2018) Enacting actuarial fairness in insurance: From fair discrimination to behaviour-based fairness. Sci Culture 27(4):413–438

    Article  Google Scholar 

  • Michelbacher G (1926) ‘moral hazard’ in the field of casualty insurance. Proc Casualty Actuar Soc 13(27):448–471

    Google Scholar 

  • Miller G, Gerstein DR (1983) The life expectancy of nonsmoking men and women. Public Health Rep 98(4):343

    Google Scholar 

  • Miller T (2015b) Price optimization. Commonwealth of Pennsylvania, Insurance Department August 25

    Google Scholar 

  • Milne J (1815) A Treatise on the Valuation of Annuities and Assurances on Lives and Survivorships: On the Construction of Tables of Mortality and on the Probabilities and Expectations of Life, vol 2. Longman, Hurst, Rees, Orme, and Brown

    Google Scholar 

  • Mittra J (2007) Predictive genetic information and access to life assurance: The poverty of ‘genetic exceptionalism’. BioSocieties 2(3):349–373

    Article  Google Scholar 

  • Monnet J (2017) Discrimination et assurance. Journal de Droit de la Santé et de l’Assurance Maladie 16:13–19

    Google Scholar 

  • Morel P, Stalk G, Stanger P, Wetenhall P (2003) Pricing myopia. The Boston Consulting Group Perspectives

    Google Scholar 

  • Nathan EB (1925) Analysed mortality: the english life no. 8a tables. Trans Faculty Actuaries 10:45–124

    Article  Google Scholar 

  • Noguéro D (2010) Sélection des risques. discrimination, assurance et protection des personnes vulnérables. Revue générale du droit des assurances 3:633–663

    Google Scholar 

  • Pasquale F (2015) The black box society: the secret algorithms that control money and information. Harvard University Press, Harvard

    Book  Google Scholar 

  • Perla F, Richman R, Scognamiglio S, Wüthrich MV (2021) Time-series forecasting of mortality rates using deep learning. Scandinavian Actuarial J 2021(7):572–598

    Article  MathSciNet  Google Scholar 

  • Petauton P (1998) L’opération d’assurance : définitions et principes. In: Ewald F, Lorenzi JH (eds) Encyclopédie de l’assurance, Economica

    Google Scholar 

  • Picard P (2003) Les frontières de l’assurabilité. Risques 54:65–66

    Google Scholar 

  • Pichard M (2006) Les droits à: étude de législation française. Economica

    Google Scholar 

  • Pope DG, Sydnor JR (2011) Implementing anti-discrimination policies in statistical profiling models. Am Econ J Econ Policy 3(3):206–31

    Article  Google Scholar 

  • Porter TM (2020) Trust in numbers. Princeton University Press, Princeton

    Book  Google Scholar 

  • Pradier PC (2011) (petite) histoire de la discrimination (dans les assurances). Risques 87:51–57

    Google Scholar 

  • Pradier PC (2012) Les bénéfices terrestres de la charité. les rentes viagères des hôpitaux parisiens, 1660–1690. Histoire Mesure 26(XXVI-2):31–76

    Google Scholar 

  • Ransom RL, Sutch R (1987) Tontine insurance and the armstrong investigation: a case of stifled innovation, 1868–1905. J Econ Hist 47(2):379–390

    Article  Google Scholar 

  • Riley JG (1975) Competitive signalling. J Econ Theory 10(2):174–186

    Article  MathSciNet  Google Scholar 

  • Ross SM (1972) Introduction to probability models. Academic Press, Cambridge, MA

    Google Scholar 

  • Royal A, Walls M (2019) Flood risk perceptions and insurance choice: Do decisions in the floodplain reflect overoptimism? Risk Anal 39(5):1088–1104

    Article  Google Scholar 

  • Rubinstein A (2012) Economic fables. Open Book Publishers, Cambridge

    Book  Google Scholar 

  • Spedicato GA, Dutang C, Petrini L (2018) Machine learning methods to perform pricing optimization. a comparison with standard glms. Variance 12(1):69–89

    Google Scholar 

  • Spence M (1974) Competitive and optimal responses to signals: An analysis of efficiency and distribution. J Econ Theory 7(3):296–332

    Article  Google Scholar 

  • Spence M (1976) Informational aspects of market structure: An introduction. Q J Econ, 591–597

    Google Scholar 

  • Steensma C, Loukine L, Orpana H, Lo E, Choi B, Waters C, Martel S (2013) Comparing life expectancy and health-adjusted life expectancy by body mass index category in adult canadians: a descriptive study. Populat Health Metrics 11(1):1–12

    Article  Google Scholar 

  • Stenholm S, Head J, Aalto V, Kivimäki M, Kawachi I, Zins M, Goldberg M, Platts LG, Zaninotto P, Hanson LM, et al. (2017) Body mass index as a predictor of healthy and disease-free life expectancy between ages 50 and 75: a multicohort study. Int J Obesity 41(5):769–775

    Article  Google Scholar 

  • Stone DA (1993) The struggle for the soul of health insurance. J Health Polit Policy Law 18(2):287–317

    Article  MathSciNet  Google Scholar 

  • Struyck N (1740) Inleiding tot de algemeene geographie. Tirion 1740:231

    Google Scholar 

  • Struyck N (1912) Les oeuvres de Nicolas Struyck (1687–1769): qui se rapportent au calcul des chances, à la statistique général, à la statistique des décès et aux rentes viagèter. Société générale néerlandaise d’assurances sur la vie et de rentes viagères

    Google Scholar 

  • Sutton W (1874) On the method used by Dr. Price in the construction of the northampton mortality table. J Inst Actuaries 18(2):107–122

    Article  Google Scholar 

  • Taylor S (2015) Price optimization ban. Government of the District of Columbia, Department of Insurance August 25

    Google Scholar 

  • Thomas G (2012) Non-risk price discrimination in insurance: market outcomes and public policy. Geneva Papers Risk Insurance Issues Pract 37:27–46

    Article  Google Scholar 

  • Thomas G (2017) Loss coverage: Why insurance works better with some adverse selection. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Upton G, Cook I (2014) A dictionary of statistics 3e. Oxford University Press, Oxford

    Google Scholar 

  • Viaene S, Dedene G, Derrig RA (2005) Auto claim fraud detection using Bayesian learning neural networks. Expert Syst Appl 29(3):653–666

    Article  Google Scholar 

  • Viswanathan KS (2006) Demutualization. Encyclopedia of Actuarial Science

    Google Scholar 

  • Volkmer S (2015) Notice regarding unfair discrimination in rating: optimization. State of California, Department of Insurance February 18

    Google Scholar 

  • Von Neumann J, Morgenstern O (1953) Theory of games and economic behavior. Princeton University Press, Princeton

    Google Scholar 

  • Waldron H (2013) Mortality differentials by lifetime earnings decile: Implications for evaluations of proposed social security law changes. Social Secur Bull 73:1

    Google Scholar 

  • Wilkie D (1997) Mutuality and solidarity: assessing risks and sharing losses. Philos Trans Roy Soc Lond B Biol Sci 352(1357):1039–1044

    Article  Google Scholar 

  • Wing-Heir L (2015) Price optimization in ratemaking. State of Alaska, Department of Commerce, Community and Economic Development Bulletin B 15–12

    Google Scholar 

  • Winter RA (2000) Optimal insurance under moral hazard. Handbook of insurance, pp 155–183

    Google Scholar 

  • Wolthuis H (2004) Heterogeneity. Encyclopedia of Actuarial Science, pp 819–821

    Google Scholar 

  • Wüthrich MV, Merz M (2008) Stochastic claims reserving methods in insurance. Wiley, New York

    Google Scholar 

  • Yang TC, Chen VYJ, Shoff C, Matthews SA (2012) Using quantile regression to examine the effects of inequality across the mortality distribution in the us counties. Soc Sci Med 74(12):1900–1910

    Article  Google Scholar 

  • Zelizer VAR (2018) Morals and markets. Columbia University Press, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Charpentier, A. (2024). Fundamentals of Actuarial Pricing. In: Insurance, Biases, Discrimination and Fairness. Springer Actuarial. Springer, Cham. https://doi.org/10.1007/978-3-031-49783-4_2

Download citation

Publish with us

Policies and ethics