Pandemics: Insurance and Social Protection

• Corporate Author: SpringerLink (Online service)
• Other Authors: Boado-Penas, María del Carmen (Editor), Eisenberg, Julia (Editor), Şahin‬‬‬, Şule (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
• Edition: 1st ed. 2022.
• Series: Springer Actuarial,
• Subjects: Actuarial science.; Mathematical statistics.; Probabilities.; Welfare economics.; Law and economics.; Actuarial Mathematics.; Mathematical Statistics.; Probability Theory.; Social Economy.; Law and Economics.
• Online Access: Link to Metadata

Summary

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.

Physical Description

XX, 298 p. 51 illus., 45 illus. in color. online resource.

ISBN

9783030783341

ISSN

2523-3270

DOI

10.1007/978-3-030-78334-1

Access

Open Access