Article ID: CBB253254427

What Was Fair in Actuarial Fairness? (2020)

unapi

In actuarial parlance, the price of an insurance policy is considered fair if customers bearing the same risk are charged the same price. The estimate of this fair amount hinges on the expected value obtained by weighting the different claims by their probability. We argue that, historically, this concept of actuarial fairness originates in an Aristotelian principle of justice in exchange (equality in risk). We will examine how this principle was formalized in the 16th century and shaped in life insurance during the following two hundred years, in two different interpretations. The Domatian account of actuarial fairness relied on subjective uncertainty: An agreement on risk was fair if both parties were equally ignorant about the chances of an uncertain event. The objectivist version grounded any agreement on an objective risk estimate drawn from a mortality table. We will show how the objectivist approach collapsed in the market for life annuities during the 18th century, leaving open the question of why we still speak of actuarial fairness as if it were an objective expected value.

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Authors & Contributors
Leonie Dendler
Markus A. Denzel
Weinkle, Jessica
Vause, Erika
Gaby-Fleur Böl
Hideyuki Hirakawa
Journals
Science, Technology and Human Values
The Journal of Transport History
Zeitschrift für Unternehmensgeschichte
Social Studies of Science
Public Understanding of Science
Physics in Perspective
Publishers
Johns Hopkins University Press
Harvard University Press
Erasmus Publishing
University of California, Berkeley
Concepts
Risk assessment
Risk
Insurance
Actuarial science
Science and society
Disasters; catastrophes
People
Colbert, Stephen, 1964-
Babbage, Charles
Time Periods
19th century
21st century
20th century, late
18th century
17th century
20th century, early
Places
United States
Great Britain
Germany
Hamburg (Germany)
Atlantic Ocean
Netherlands
Institutions
Brookhaven National Laboratory (United States)
Lawrence Berkeley Laboratory
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