Pandemics : : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin.
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 actuar...
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| Superior document: | Springer Actuarial |
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| TeilnehmendeR: | |
| Year of Publication: | 2021 |
| Language: | English |
| Series: | Springer Actuarial
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| Physical Description: | 1 online resource (xx, 298 pages) :; illustrations (some color) |
| Notes: | Description based upon print version of record. |
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| Other title: | Pandemics |
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| 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. |
| ISBN: | 3030783340 |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin. |