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The impact of governmental assistance on insurance demand under ambiguity: a theoretical model and an experimental test

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Cited by:

  1. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2020. "Insurance and Forest Rotation Decisions Under Storm Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 347-367, July.
  2. Peter John Robinson & W. J. Wouter Botzen & Fujin Zhou, 2021. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 275-318, December.
  3. Andor, Mark A. & Osberghaus, Daniel & Simora, Michael, 2020. "Natural Disasters and Governmental Aid: Is there a Charity Hazard?," Ecological Economics, Elsevier, vol. 169(C).
  4. Stéphane Couture & Marielle Brunette & François Pannequin & Anne Corcos, 2016. "The self-insurance clauses puzzle : risk versus ambiguity," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02801783, HAL.
  5. Marielle Brunette & Stephane Couture, 2018. "Risk management activities of a non-industrial privateforest owner with a bivariate utility function," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 99(3-4), pages 281-302.
  6. Camille Tevenart & Marielle Brunette, 2021. "Role of Farmers’ Risk and Ambiguity Preferences on Fertilization Decisions: An Experiment," Sustainability, MDPI, vol. 13(17), pages 1-27, August.
  7. Timo Goeschl & Shunsuke Managi, 2019. "Public in-Kind Relief and Private Self-Insurance," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 3-21, April.
  8. Fluhrer, Svenja, 2023. "Crowding-in or crowding-out: The effect of humanitarian aid on households’ investments in climate adaptation," MPRA Paper 117975, University Library of Munich, Germany.
  9. Yiling Deng & Ian A. Munn & Haibo Yao, 2021. "Attributes‐based conjoint analysis of landowner preferences for standing timber insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 421-444, December.
  10. Marielle Brunette & Stéphane Couture & Jérôme Foncel & Serge S. Garcia, 2017. "Insurance decision against forest fire : An econometric analysis combining experimental and real data," Post-Print hal-02785187, HAL.
  11. Teh, Tse-Ling, 2017. "Insurance design in the presence of safety nets," Journal of Public Economics, Elsevier, vol. 149(C), pages 47-58.
  12. Peter John Robinson & W. J. Wouter Botzen, 2025. "Behavioural public policy for natural disaster preparedness and the role of economic experiments," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-7, December.
  13. Bastit, Félix & Brunette, Marielle & Montagné-Huck, Claire, 2023. "Pests, wind and fire: A multi-hazard risk review for natural disturbances in forests," Ecological Economics, Elsevier, vol. 205(C).
  14. Kousky, Carolyn & Michel-Kerjan, Erwann O. & Raschky, Paul A., 2018. "Does federal disaster assistance crowd out flood insurance?," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 150-164.
  15. Michael Berlemann & Max Steinhardt & Jascha Tutt, 2015. "Do Natural Disasters Stimulate Individual Saving? Evidence from a Natural Experiment in a Highly Developed Country," SOEPpapers on Multidisciplinary Panel Data Research 763, DIW Berlin, The German Socio-Economic Panel (SOEP).
  16. Sandrine Brèteau-Amores & Marielle Brunette & Christophe François & Antoine Leblois & Nicolas Martin-StPaul, 2021. "Index insurance for coping with drought-induced risk of production losses in French forests," Working Papers of BETA 2021-44, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  17. Brunette, M. & Holecy, J. & Sedliak, M. & Tucek, J. & Hanewinkel, M., 2015. "An actuarial model of forest insurance against multiple natural hazards in fir (Abies Alba Mill.) stands in Slovakia," Forest Policy and Economics, Elsevier, vol. 55(C), pages 46-57.
  18. Johannes G. Jaspersen, 2016. "Hypothetical Surveys And Experimental Studies Of Insurance Demand: A Review," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(1), pages 217-255, January.
  19. Ridho Al Izzati & Daniel Suryadarma & Asep Suryahadi, "undated". "The Behavioral Effects of Unconditional Cash Transfers: Evidence from Indonesia," Working Papers 2376, Communications Section.
  20. M. Brunette & S. Couture & J. Foncel & S. Garcia, 2020. "The decision to insure against forest fire risk: an econometric analysis combining hypothetical real data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 111-133, January.
  21. Ridho Al Izzati & Daniel Suryadarma & Asep Suryahadi, "undated". "Dampak Bantuan Langsung Tunai terhadap Perilaku Penerima Bantuan: Bukti dari Indonesia," Working Papers 3621, Communications Section.
  22. Marielle Brunette & Robin Bourke & Marc Hanewinkel & Rasoul Yousefpour, 2018. "Adaptation to climate change in forestry: a multiple correspondence analysis (MCA)," Post-Print hal-02620990, HAL.
  23. Lipper, Leslie & Thornton, Philip K., 2014. "How does climate change alter agricultural strategies to support food security?:," IFPRI discussion papers 1340, International Food Policy Research Institute (IFPRI).
  24. Tesselaar, Max & Botzen, W.J. Wouter & Robinson, Peter J. & Aerts, Jeroen C.J.H. & Zhou, Fujin, 2022. "Charity hazard and the flood insurance protection gap: An EU scale assessment under climate change," Ecological Economics, Elsevier, vol. 193(C).
  25. Sauter, Philipp A. & Möllmann, Torsten B. & Anastassiadis, Friederike & Mußhoff, Oliver & Möhring, Bernhard, 2016. "To insure or not to insure? Analysis of foresters' willingness-to-pay for fire and storm insurance," Forest Policy and Economics, Elsevier, vol. 73(C), pages 78-89.
  26. Qin, Tao & Gu, Xuesong & Tian, Zhiwei & Pan, Huanxue & Deng, Jing & Wan, Li, 2016. "An empirical analysis of the factors influencing farmer demand for forest insurance: Based on surveys from Lin’an County in Zhejiang Province of China," Journal of Forest Economics, Elsevier, vol. 24(C), pages 37-51.
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