Arbeitspapier

Insurance for Catastrophes - Indemnity vs. Parametric Insurance with Imperfect Information

Insurance for natural hazards - earthquakes, hurricanes, or pandemics - is rarely comprehensively adopted without intense government intervention, and even then it is often only a minority of properties or businesses that are insured. Efforts to close this insurance gap include the introduction of parametric (index) insurance products for various catastrophic risks. We compare parametric to indemnity insurance in a simple model where the insurance company has superior information about the probability of the event (reversed asymmetric information). We find that indemnity insurance tends to be welfare superior, because the coverage provided to agents who underestimate the event probability is larger than with parametric cover. Since it could plausibly be argued that a majority of the population is underestimating the risks of many types of extreme events, this difference in social welfare is potentially substantial.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 9631

Klassifikation
Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Asymmetric and Private Information; Mechanism Design
Insurance; Insurance Companies; Actuarial Studies
Thema
business interruption insurance
insurance for pandemics
parametric vs. indemnity insurance
reversed asymmetric information

Ereignis
Geistige Schöpfung
(wer)
Feess, Eberhard
Jordan, Cathrin
Noy, Ilan
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Feess, Eberhard
  • Jordan, Cathrin
  • Noy, Ilan
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2022

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