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oapen-20.500.12657-514592021-11-16T02:47:54Z Pandemics: Insurance and Social Protection Boado-Penas, María del Carmen Eisenberg, Julia Şahin, Şule Epidemics Risk Insurance Social protection Actuarial modelling Open Access bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBT Probability & statistics bic Book Industry Communication::J Society & social sciences::JN Education bic Book Industry Communication::L Law::LB International law::LBB Public international law::LBBM International economic & trade law 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. 2021-11-15T15:27:32Z 2021-11-15T15:27:32Z 2022 book ONIX_20211115_9783030783341_6 9783030783341 https://library.oapen.org/handle/20.500.12657/51459 eng Springer Actuarial application/pdf Attribution 4.0 International 9783030783341.pdf https://www.springer.com/9783030783341 Springer Nature Springer International Publishing 10.1007/978-3-030-78334-1 10.1007/978-3-030-78334-1 6c6992af-b843-4f46-859c-f6e9998e40d5 26ae1657-c58f-4f1d-a392-585ee75c293e 96d9ad63-1967-4a66-87d4-739c095ebc2e 9783030783341 Austrian Science Fund (FWF) Springer International Publishing 298 [grantnumber unknown] [grantnumber unknown] Austrian Science Fund Fonds zur Förderung der Wissenschaftlichen Forschung University of Liverpool Universidad de Liverpool open access
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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.
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