Creator/Principal investigator(s)
Daniel Slunge
- University of Gothenburg, Gothenburg Centre for Sustainable Development
Description
This dataset is based on a choice experiment on tick-borne disease risk and recreational choice. It contains the variables used in the study “Valuation When Baselines Are Changing: Tick-borne Disease Risk and Recreational Choice” as well as data on additional variables collection in a survey with 1579 respondents in Sweden in 2013.
Understanding how changes in baseline risk influence preferences for risk reduction is important when valuing the welfare effects of environmental change, including the spread of disease. We conduct a survey-based choice experiment among respondents residing in areas with different prevalence of ticks and incidence of Lyme borreliosis (LB) and tick-borne encephalitis (TBE) in Sweden. Respondents face a trade-off between risk and travel cost when choosing between visiting recreational areas differing in prevalence of ticks and disease incidence. Our study indicates that ticks and the risk of tick-borne diseases significantly influence the choice of recreational area and have non-trivial welfare effects. The mean willingness to pay (WTP) per trip to avoid areas with
Research principal
Responsible department/unit
Gothenburg Centre for Sustainable Development
Ethics Review
Gothenburg - Ref. 544-13
Unit of analysis
Time Method
Sampling procedure
Time period(s) investigated
2013-05-01 – 2013-11-30
Geographic spread
Geographic location: Sweden
Slunge, D., Sterner, T. and Adamovicz, W. Valuation when Baselines are Changing: Tick-borne Disease Risk and Recreational Choice. https://doi.org/10.1016/j.reseneeco.2019.101119
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Associated documentation
Description
This data is based on a survey based choice experiment on tick-borne disease risk and recreational choice. The dataset contains responses from 1579 people in Sweden to an online survey in October 2013. The dataset contains 33159 observations as all respondents answered seven choice sets with three alternatives. The dataset contains 168 variables.Version 1.0
https://doi.org/10.5878/z9n6-m595
Citation
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Data format / data structure
Numeric
Creator/Principal investigator(s)
Daniel Slunge
- University of Gothenburg, Gothenburg Centre for Sustainable Development
Time period(s) investigated
2013-05-01 – 2013-11-30
Variables
170