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＜電子ブック＞
Pandemics: Insurance and Social Protection / edited by María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin‬‬‬
(Springer Actuarial. ISSN:25233270)

版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
本文言語	英語
大きさ	XX, 298 p. 51 illus., 45 illus. in color : online resource
著者標目	Boado-Penas, María del Carmen editor Eisenberg, Julia editor Şahin‬‬‬, Şule editor SpringerLink (Online service)
件　名	LCSH:Actuarial science LCSH:Mathematical statistics LCSH:Probabilities LCSH:Welfare economics LCSH:Law and economics FREE:Actuarial Mathematics FREE:Mathematical Statistics FREE:Probability Theory FREE:Social Economy FREE:Law and Economics
一般注記	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. , Open Access 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 HTTP:URL=https://doi.org/10.1007/978-3-030-78334-1

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