Pandemics: Insurance and Social Protection
| dc.contributor.editor | Boado-Penas, María del Carmen | |
| dc.contributor.editor | Eisenberg, Julia | |
| dc.contributor.editor | Şahin, Şule | |
| dc.date.accessioned | 2021-11-15T15:27:32Z | |
| dc.date.available | 2021-11-15T15:27:32Z | |
| dc.date.issued | 2022 | |
| dc.identifier | ONIX_20211115_9783030783341_6 | |
| dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/51459 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.relation.ispartofseries | Springer Actuarial | |
| dc.subject.classification | thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics | en_US |
| dc.subject.classification | thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics | en_US |
| dc.subject.classification | thema EDItEUR::J Society and Social Sciences::JN Education | en_US |
| dc.subject.classification | thema EDItEUR::L Law::LB International law::LBB Public international law::LBBM Public international law: economic and trade | en_US |
| dc.subject.other | Epidemics | |
| dc.subject.other | Risk | |
| dc.subject.other | Insurance | |
| dc.subject.other | Social protection | |
| dc.subject.other | Actuarial modelling | |
| dc.subject.other | Open Access | |
| dc.title | Pandemics: Insurance and Social Protection | |
| dc.type | book | |
| oapen.identifier.doi | 10.1007/978-3-030-78334-1 | |
| oapen.relation.isPublishedBy | 6c6992af-b843-4f46-859c-f6e9998e40d5 | |
| oapen.relation.isFundedBy | 26ae1657-c58f-4f1d-a392-585ee75c293e | |
| oapen.relation.isFundedBy | 96d9ad63-1967-4a66-87d4-739c095ebc2e | |
| oapen.relation.isbn | 9783030783341 | |
| oapen.collection | Austrian Science Fund (FWF) | |
| oapen.imprint | Springer International Publishing | |
| oapen.pages | 298 | |
| oapen.grant.number | [grantnumber unknown] | |
| oapen.grant.number | [grantnumber unknown] |
