Pandemics: Insurance and Social Protection
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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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Edition: | 1st ed. 2022. |
| Series: | Springer Actuarial,
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| Subjects: | |
| Online Access: | Link to Metadata |
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| 245 | 1 | 0 | |a Pandemics: Insurance and Social Protection |h [electronic resource] / |c edited by María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin. |
| 250 | |a 1st ed. 2022. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2022. | |
| 300 | |a XX, 298 p. 51 illus., 45 illus. in color. |b online resource. | ||
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| 490 | 1 | |a Springer Actuarial, |x 2523-3270 | |
| 505 | 0 | |a M.C. Boado-Penas, J. Eisenberg, Ş. Şahin: Covid-19: a trigger for innovations in insurance?.-Jose Garrido: Compartment models.-David Wilkie: On a dynamic epidemiological actuarial model -- Andrew Cairns: Changes in mortality during a pandemic -- Gary Venter: Mortality models with contagion -- Diagnostic tests and procedures during a pandemic -- Matthew Aldridge: Group tests -- Gustavo Demarco and Fiona Stewart: On World Bank's pandemic emergency financial facilities -- Hirbod Assa & Tim Boonen: Mathematical modelling of catastrophe bonds -- Nuria Badenes Pla: Behaviouristic aspects, obedience to the introduced measures in different countries.-Alexia Fürnkranz-Prskawetz:The optimal length and severity of a lockdown.-Peter Filzmoser: The optimal length and severity of a lockdown -- Rachel Hillier:Pandemic related legal problems.-Frank Schiller:Anactuary's opinion. ,. | |
| 506 | 0 | |a Open Access | |
| 520 | |a 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. | ||
| 650 | 0 | |a Actuarial science. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Welfare economics. | |
| 650 | 0 | |a Law and economics. | |
| 650 | 1 | 4 | |a Actuarial Mathematics. |
| 650 | 2 | 4 | |a Mathematical Statistics. |
| 650 | 2 | 4 | |a Probability Theory. |
| 650 | 2 | 4 | |a Social Economy. |
| 650 | 2 | 4 | |a Law and Economics. |
| 700 | 1 | |a Boado-Penas, María del Carmen. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Eisenberg, Julia. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Şahin, Şule. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783030783334 |
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| 776 | 0 | 8 | |i Printed edition: |z 9783030783365 |
| 830 | 0 | |a Springer Actuarial, |x 2523-3270 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-030-78334-1 |z Link to Metadata |
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||