Arbeitspapier

Natural disasters and governmental aid: Is there a charity hazard?

In the aftermath of natural disasters, governments frequently provide financial aid for affected households. This policy can have adverse effects if individuals anticipate it and forgo private precaution measures. While theoretical literature unequivocally suggests this so called "charity hazard", empirical studies yield ambiguous results. Drawing on rich survey data from German homeowners, we analyze charity hazard for different flood precaution strategies, namely insurance uptake and non-financial protection measures, and different flood risk areas. Our results indicate a substantial charity hazard in the insurance market for individuals residing in flood-prone areas. In contrast, we find a positive correlation between governmental aid and non-financial protection measures. Moreover, our results suggest that insurance and non-financial protection measures are rather complements than substitutes. Finally, we provide suggestive evidence that status-quo bias might play an important role for insurance uptake.

Sprache
Englisch

Erschienen in
Series: ZEW Discussion Papers ; No. 17-065

Klassifikation
Wirtschaft
Climate; Natural Disasters and Their Management; Global Warming
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Urban, Rural, Regional, Real Estate, and Transportation Economics: Other Demand
Thema
Adaptation
Flood Protection
Flood Insurance
Objective Flood Risk
Charity Hazard

Ereignis
Geistige Schöpfung
(wer)
Andor, Mark
Osberghaus, Daniel
Simora, Michael
Ereignis
Veröffentlichung
(wer)
Zentrum für Europäische Wirtschaftsforschung (ZEW)
(wo)
Mannheim
(wann)
2017

Handle
URN
urn:nbn:de:bsz:180-madoc-438784
Letzte Aktualisierung
10.03.2025, 11:42 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

  • Andor, Mark
  • Osberghaus, Daniel
  • Simora, Michael
  • Zentrum für Europäische Wirtschaftsforschung (ZEW)

Entstanden

  • 2017

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