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A Novel Approach to Estimating the Demand Value of Road Safety

Christoph Rheinberger (), Felix Schläpfer and Michael Lobsiger

No 254045, ETA: Economic Theory and Applications from Fondazione Eni Enrico Mattei (FEEM)

Abstract: We estimate the demand value of road safety improvements in Switzerland from survey data using a novel elicitation approach. Individuals’ responses to questions about how much public spending on road safety should be increased are combined with observations of income, tax rate, and road usage to estimate the economic value of a statistical accident avoided. Information obtained from a risk-risk tradeoff elicitation allows us to distinguish willingness-to-pay values for various degrees of accident severity. Our most comprehensive estimate of the value of a statistical accident avoided amounts to CHF 11.0 million ($11.6 million); the corresponding value per statistical life is close to CHF 4.2 million ($4.5 million). We explore the sensitivity of these estimates to anchoring and other framing effects and find that the popularity of specific road safety programs is influenced by both the availability of different choice options and the provision of partisan cues expressing political endorsement or opposition.

Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Date: 2017-03-22
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http://ageconsearch.umn.edu/record/254045/files/NDL2017-015.pdf (application/pdf)

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Working Paper: A Novel Approach to Estimating the Demand Value of Road Safety (2017) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:feemth:254045

DOI: 10.22004/ag.econ.254045

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