000 | 04044nam a22006255i 4500 | ||
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001 | 978-3-030-78334-1 | ||
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020 |
_a9783030783341 _9978-3-030-78334-1 |
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024 | 7 |
_a10.1007/978-3-030-78334-1 _2doi |
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_aPandemics: Insurance and Social Protection _h[electronic resource] / _cedited by María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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300 |
_aXX, 298 p. 51 illus., 45 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringer Actuarial, _x2523-3270 |
|
505 | 0 | _aM.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 | _aOpen Access | |
520 | _aThis 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 | _aActuarial science. | |
650 | 0 | _aMathematical statistics. | |
650 | 0 | _aProbabilities. | |
650 | 0 | _aWelfare economics. | |
650 | 0 | _aLaw and economics. | |
650 | 1 | 4 | _aActuarial Mathematics. |
650 | 2 | 4 | _aMathematical Statistics. |
650 | 2 | 4 | _aProbability Theory. |
650 | 2 | 4 | _aSocial Economy. |
650 | 2 | 4 | _aLaw and Economics. |
700 | 1 |
_aBoado-Penas, María del Carmen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aEisenberg, Julia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aŞahin, Şule. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030783334 |
776 | 0 | 8 |
_iPrinted edition: _z9783030783358 |
776 | 0 | 8 |
_iPrinted edition: _z9783030783365 |
830 | 0 |
_aSpringer Actuarial, _x2523-3270 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-78334-1 |
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912 | _aZDB-2-SXMS | ||
912 | _aZDB-2-SOB | ||
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