Paying for Safety: Preferences for Mortality Risk Reductions on Alpine Roads

This paper presents a choice experiment, which values reductions in mortality risk on Alpine roads. These roads are on one hand threatened by common road hazards, on the other hand they are also endangered by natural hazards such as avalanches and rockfalls. Drawing on choice data from frequently exposed and barely exposed respondents, we are not only able to estimate the VSL but to explore how the respondents differ in their individual willingness-to-pay depending on personal characteristics. To address heterogeneity in preferences for risk reduction, we use a non-linear conditional logit model with interaction effects. The best estimate of the VSL in the context of fatal accidents on Alpine roads is in the range of €4.9–5.4 million with distinct differences between the urban and the mountain sample groups. We find the VSL to be significantly altered by socio-economic factors but only marginally altered by the type of hazard.Value of Statistical Life, Choice Experiment, Natural Hazard Mitigation, Traffic Safety

Risky Sports and the Value of Information

We develop a theoretical account of how athletes engaged in risky sports value riskreducing information and use stated-preference data from a sample of backcountry skiers to empirically challenge the predictions of our model. Risk taking in this specific context depends on the athlete’s personal attitudes toward risky activities and his strategies to control the risk. Usage of specific information is one strategy of risk control. We estimate the demand value for avalanche information. Caution is however warranted because unobserved factors may jointly affect the athlete’s perception of risk and his willingness-to-pay for obtaining the information. We use a recursive two stage estimation approach to account for endogeneity concerns. Our results indicate that the demand value of information increases with wealth and perceived risk and tends to decrease with better skills to control risk and more information about the prevailing field conditions. These results support our theoretical predictions and suggest that variation in athletes’ WTP can be explained by their beliefs about the usefulness of information

Risky Sports and the Value of Information

We develop a theoretical account of how athletes engaged in risky sports value riskreducing information and use stated-preference data from a sample of backcountry skiers to empirically challenge the predictions of our model. Risk taking in this specific context depends on the athlete’s personal attitudes toward risky activities and his strategies to control the risk. Usage of specific information is one strategy of risk control. We estimate the demand value for avalanche information. Caution is however warranted because unobserved factors may jointly affect the athlete’s perception of risk and his willingness-to-pay for obtaining the information. We use a recursive two stage estimation approach to account for endogeneity concerns. Our results indicate that the demand value of information increases with wealth and perceived risk and tends to decrease with better skills to control risk and more information about the prevailing field conditions. These results support our theoretical predictions and suggest that variation in athletes’ WTP can be explained by their beliefs about the usefulness of information

Valuing non-marginal changes in mortality and morbidity risk

Many stated-preference studies that seek to estimate the marginal willingness-to-pay (WTP) for reductions in mortality or morbidity risk su˙er from inadequate scope sensitivity. One possible reason is that the risk reductions presented to respondents are too small to be meaningful. Survey responses may thus not accurately reflect respondents’ preferences for health and safety. In this paper we propose a novel approach to estimating the value per statistical life (VSL) or the value per statistical case (VSC) based on larger risk reductions measurable as percentages. While such non-marginal risk reductions are easier to understand, they introduce well known biases. We propose a methodology to de-bias VSL and VSC estimates derived from the evaluation of non-marginal risk reductions and present a proof of concept using simulated stated preference data

Which Fish Should I Eat? Perspectives Influencing Fish Consumption Choices

Background: Diverse perspectives have influenced fish consumption choices

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways

Paying for Safety: Preferences for Mortality Risk Reductions on Alpine Roads

This paper presents a choice experiment, which values reductions in mortality risk on Alpine roads. These roads are on one hand threatened by common road hazards, on the other hand they are also endangered by natural hazards such as avalanches and rockfalls. Drawing on choice data from frequently exposed and barely exposed respondents, we are not only able to estimate the VSL but to explore how the respondents differ in their individual willingness-to-pay depending on personal characteristics. To address heterogeneity in preferences for risk reduction, we use a non-linear conditional logit model with interaction effects. The best estimate of the VSL in the context of fatal accidents on Alpine roads is in the range of €4.9–5.4 million with distinct differences between the urban and the mountain sample groups. We find the VSL to be significantly altered by socio-economic factors but only marginally altered by the type of hazard