2012
DOI: 10.1111/j.1539-6975.2012.01484.x
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Deciding Whether to Invest in Mitigation Measures: Evidence From Florida

Abstract: Prior research provides theoretical insight into factors likely to impact the decision to mitigate such as the degree of risk aversion, the cost of market insurance, and the cost of self‐insurance. We provide empirical evidence related to several hypotheses from the self‐insurance literature on the decision to mitigate.

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Cited by 46 publications
(47 citation statements)
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References 33 publications
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“…In the light of these results it seems that physical flood mitigation measures and financial flood insurance policies are not seen as perfect substitutes, and indeed they partly cover different risks, as discussed before. Similar results (comparably high mitigation behaviour among insured households) are found in other studies for the German context (Thieken et al 2006) and in the USA for wind storm mitigation/insurance (Carson et al 2013;Chatterjee and Mozumder 2014;Petrolia et al 2013). …”
Section: Moral Hazard Effectssupporting
confidence: 89%
See 3 more Smart Citations
“…In the light of these results it seems that physical flood mitigation measures and financial flood insurance policies are not seen as perfect substitutes, and indeed they partly cover different risks, as discussed before. Similar results (comparably high mitigation behaviour among insured households) are found in other studies for the German context (Thieken et al 2006) and in the USA for wind storm mitigation/insurance (Carson et al 2013;Chatterjee and Mozumder 2014;Petrolia et al 2013). …”
Section: Moral Hazard Effectssupporting
confidence: 89%
“…More literature is available on private flood mitigation e.g. in Denmark (Koerth et al 2013), France (Poussin, Botzen, and Aerts 2013), Italy (Miceli, Sotgiu, and Settanni 2008), Japan (Takao et al 2004;Zhai et al 2006), Switzerland (Siegrist and Gutscher 2008), the UK (Bichard and Kazmierczak 2012), and the US (Carson, McCullough, and Pooser 2013;Lindell and Hwang 2008). The sample sizes of the household surveys and the statistical analyses vary between less than 150 (Koerth et al 2013) and more than 2000 (Takao et al 2004).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…In short, earthquake insurances, in general, are expected to enable homeowners to confront future catastrophic disasters in addition to encouraging households to adopt relevant cost-effective measures to cope with catastrophic losses. Therefore, one of the most important themes in policy evaluation is to investigate the likely demand and the attitudes of property owners towards buying earthquake insurance and their willingness to pay for the insurance (Quiggin, 2002;Carson, McCullough, Pooser;2013). An analysis of low level purchases of insurance requires the investigating of the potential lack of cognitive ability to assess the loss and probability of a catastrophe (Gregory, Lichtenstein and Slovic 1993;Kunreuther and Pauly 2004;Kriesel and Landry 2004).…”
Section: Social Marketing Attitudes and Personality Characteristicsmentioning
confidence: 99%