Pandemics: Insurance and Social Protection

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

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https://library.oapen.org/bitstream/20.500.12657/51459/1/9783030783341.pdf
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https://library.oapen.org/bitstream/20.500.12657/51459/1/9783030783341.pdf
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https://library.oapen.org/bitstream/20.500.12657/51459/1/9783030783341.pdf

Contributor(s)

Boado-Penas, María del Carmen (editor)

Eisenberg, Julia (editor)

Şahin‬‬‬, Şule (editor)

Collection

Austrian Science Fund (FWF)

Language

English

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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.

URI

https://directory.doabooks.org/handle/20.500.12854/72814

Keywords

Epidemics; Risk; Insurance; Social protection; Actuarial modelling; Open Access; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics; thema EDItEUR::J Society and Social Sciences::JN Education; thema EDItEUR::L Law::LB International law::LBB Public international law::LBBM Public international law: economic and trade