Arbeitspapier

Comparing experiments for modelling farm risk management decisions with a focus on extreme weather losses

Extreme weather events pose an economic threat to farms. The risk management behaviour against such events is often studied using prospect theory as a framework, but empirically deriving corresponding parameters in the field involving farmers is challenging. To address this issue, we compare three methods of eliciting prospect theory parameters using a multiple price list design in Germany: a framed field experiment, a framed student experiment and an artefactual field experiment. The results show that these experiments generate different prospect theory parameters. The lower the probability the higher the differences, which is particularly important for managing risk from low-probability shocks. Despite these differences, the mean coefficients of the three experiments reveal a low willingness to pay for crop insurance. We find evidence that individual responses to the artefactual and student experiments correlate with the risk attitude self-assessment, whereas responses to the framed field experiment correlate with the purchase of crop insurance.

Sprache
Englisch

Erschienen in
Series: Diskussionsbeitrag ; No. 2301

Klassifikation
Wirtschaft
Thema
prospect theory
risk management
catastrophic risk
behavioural economics
decision analysis

Ereignis
Geistige Schöpfung
(wer)
Duden, Christoph
Offermann, Frank
Mußhoff, Oliver
Ereignis
Veröffentlichung
(wer)
Georg-August-Universität Göttingen, Department für Agrarökonomie und Rurale Entwicklung (DARE)
(wo)
Göttingen
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:41 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

  • Duden, Christoph
  • Offermann, Frank
  • Mußhoff, Oliver
  • Georg-August-Universität Göttingen, Department für Agrarökonomie und Rurale Entwicklung (DARE)

Entstanden

  • 2023

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