Pandemics: Insurance and Social Protection

María Del Carmen Boado-Penas; Julia Eisenberg; Şule Şahin

doi:10.1007/978-3-030-78334-1

Pandemics: Insurance and Social Protection

María Del Carmen Boado-Penas (Editor), Julia Eisenberg (Editor), Şule Şahin (Editor)

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Research output: Book/Report › Book

Abstract

This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic.

Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing in the presence of low probability events, group testing, compositional data analysis for detecting data inconsistencies, behaviouristic aspects in fighting a pandemic, and insurers’ legal problems, amongst others.

Concluding with an essay by a practicing actuary on the applicability of the methods proposed, this interdisciplinary book is aimed at actuaries as well as readers with a background in mathematics, economics, statistics, finance, epidemiology, or sociology.

Original language	English
Publisher	Springer Press
Number of pages	298
ISBN (Electronic)	978-3-030-78334-1
ISBN (Print)	978-3-030-78333-4
DOIs	https://doi.org/10.1007/978-3-030-78334-1
Publication status	Published - 1 Jan 2022

Bibliographical note

Access to Document

10.1007/978-3-030-78334-1Licence: CC BY

978-3-030-78334-1
© The Editor(s) (if applicable) and The Author(s) 2022.
Final published version, 6.99 MBLicence: CC BY

Cite this

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