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Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment

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Abstract

Decision-making about flood protection is surrounded by outcome uncertainty. In this paper we look at the influence of individual risk attitudes on flood protection decisions. To this end, we combine the results of a lottery game with the findings from a discrete choice experiment focusing on flood risk reduction measures. We find that the inclusion of non-linear probability weighting increases the explanatory power of the choice model. The result is however sensitive to behavioral assumptions about decisions under uncertainty, as well as whether the lottery was played in the loss or gain domain. Including risk attitudes in the probability weighted model decreases marginal willingness to pay for measures with a low to intermediate flood risk reduction capacity and increases marginal willingness to pay for measures with a very high flood risk reduction effect. This has important implications for the social acceptability of flood reduction measures under different baseline conditions.

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  1. Swiss Francs; 1 CHF = 1.02 USD (exchange rate as of 30th November 2017).

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Acknowledgements

We thank Mehmet Kutluay for his valuable advice on the lottery game and the modeling approaches used in this study and Rosi Siber for helping us to link respondents’ addresses to current flood risk areas in Switzerland. This study is funded by the Swiss National Science Foundation (Grant No. 100018_156709).

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Correspondence to Markus Glatt.

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Appendix

Appendix

See Figs. 3, 4 and Tables 7, 8, 9, 10, 11, 12, 13, 14.

Fig. 3
figure 3

Example lottery task

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figure 4

Example choice task

Table 7 Lottery tasks for respondents in the gain domain.
Table 8 Lottery tasks for respondents in the loss domain.
Table 9 Log-likelihood for all probability and value weighted choice models based on respondents’ perceived flood probability (same as in the main evaluation) and the perceived flood damage based on monetary damages exclusively (compared to a sum of monetary and non-monetary items) according to lottery domains (aggregated, gain and loss)
Table 10 Log-likelihood for all probability and value weighted choice models based on respondents’ perceived flood risk with a fixed risk parameter according to lottery domains (aggregated, gain and loss)
Table 11 Pseudo R2 for all probability and value weighted choice models based on respondents’ perceived flood risk with a fixed risk parameter according to lottery domains (aggregated, gain and loss)
Table 12 Pseudo R2 values for all probability and value weighted choice models based on respondents’ perceived and actual risk levels aggregated across all lottery choices
Table 13 Complete mixed logit model, including sample deviations
Table 14 Estimated mean and standard deviation of respondents’ risk attitude parameters for different functional forms in the lottery game

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Glatt, M., Brouwer, R. & Logar, I. Combining Risk Attitudes in a Lottery Game and Flood Risk Protection Decisions in a Discrete Choice Experiment. Environ Resource Econ 74, 1533–1562 (2019). https://doi.org/10.1007/s10640-019-00379-y

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  • DOI: https://doi.org/10.1007/s10640-019-00379-y

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