Tick-borne Disease Risk and Recreational Choice – Choice Experiment Data

Creator/Principal investigator(s):

Daniel Slunge - University of Gothenburg, Gothenburg Centre for Sustainable Development orcid

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

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Principal organisation:

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Responsible department/unit:

University of Gothenburg, Gothenburg Centre for Sustainable Development

Creator/Principal investigator(s):

Daniel Slunge - University of Gothenburg, Gothenburg Centre for Sustainable Development orcid

Identifiers:

SND-ID: SND 1070

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

... Show more..

Time period(s) investigated:

2013-05-01 — 2013-11-30

Geographic spread:

Geographic location: Sweden

Unit of analysis:

Time Method:

Sampling procedure:

Mixed probability and non-probability

Ethics Review:

Gothenburg — Ref. 544-13

Publications

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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

If you have published anything based on these data, please notify us with a reference to your publication(s).

Version 1.0:

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Tick-borne Disease Risk and Recreational Choice – Choice Experiment Data

Suggested citation:

Daniel Slunge. University of Gothenburg, Gothenburg Centre for Sustainable Development (2019). Tick-borne Disease Risk and Recreational Choice – Choice Experiment Data. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/z9n6-m595

Creator/Principal investigator(s):

Daniel Slunge - University of Gothenburg, Gothenburg Centre for Sustainable Development orcid

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.

Data format / data structure:

Numeric

Data collection:

Mode of collection: Self-administered questionnaire

Time period(s) for data collection: 2013-10-01 — 2013-11-30

Data collector: Enkätfabriken

Source of the data: Population group

Time period(s) investigated:

2013-05-01 — 2013-11-30

Variables:

170

Published: 2019-08-28