Pandemics: Insurance and Social Protection

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.

Metadata

Item Type:	Book
Editors:	Boado-Penas, María Del Carmen Eisenberg, Julia Şahin, Şule https://orcid.org/0000-0003-4080-9165
Copyright, Publisher and Additional Information:	© The Editor(s) (if applicable) and The Author(s) 2022.
Dates:	Published: 1 January 2022
Institution:	The University of York
Academic Units:	The University of York > Faculty of Social Sciences (York) > The York Management School
Depositing User:	Pure (York)
Date Deposited:	28 Jun 2023 09:10
Last Modified:	23 Jan 2025 00:46
Published Version:	https://doi.org/10.1007/978-3-030-78334-1
Status:	Published
Publisher:	Springer Press
Identification Number:	10.1007/978-3-030-78334-1
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:200980

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Pandemics: Insurance and Social Protection

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