Approximation of bayesian efficiency in experimental choice designs

Bliemer, Michiel C.J.; Rose, John M.; Hess, Stephane

doi:10.1016/s1755-5345(13)70024-1

Cited by 152 publications

(102 citation statements)

References 34 publications

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“…Following Bliemer et al (2008), we constructed a Bayesian efficient DCE design. The DCE included 16 choice combinations randomly divided into four sets.…”

Section: Discrete Choice Experiments Designmentioning

confidence: 99%

Climate change skepticism and index versus standard crop insurance demand in coastal Bangladesh

2017

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This paper investigates if climate change skepticism, farmers' fatalistic beliefs, and insurance plan design influence interest in crop weather insurance. While studies of the influence of fatalism on disaster preparedness are common, the ways in which fatalism influences climate change skepticism, and in turn affects farmers' interest in crop insurance, have not been previously investigated. An additional objective was to understand farmers' preferences for index versus standard insurance options, the former entailing damage compensation based on post-hazard assessment, the latter tying damage compensation to a set of weather parameter thresholds. A discrete choice experiment was conducted with maize farmers on a climate-risk prone island in coastal Bangladesh. Most farmers were insurance averse. Those who chose insurance were however significantly more likely to select standard as opposed to index-based insurance. Insurance demand was significantly and positively correlated with farmers' concern about the adverse livelihood impacts of climate change. Farmers who exhibited fatalistic views regarding the consequences of climate change were significantly less likely to opt for insurance of either kind. These findings imply that the prospect for farmers' investment in insurance is conditioned by their understanding of climate change risks and the utility of adaptation, in addition to insurance scheme design.

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“…Following Bliemer et al (2008), we constructed a Bayesian efficient DCE design. The DCE included 16 choice combinations randomly divided into four sets.…”

Section: Discrete Choice Experiments Designmentioning

confidence: 99%

Climate change skepticism and index versus standard crop insurance demand in coastal Bangladesh

2017

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“…More research on this is required, 7 possibly using a Monte Carlo analysis and simulated datasets (so that the true data generating process 8 is known) in a wide range of conditions. 15 …”

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confidence: 99%

Understanding the distribution of economic benefits from improving coastal and marine ecosystems

Pakalniete¹,

Aigars

Czajkowski

et al. 2017

Science of The Total Environment

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“…The updated designs, administered to the subsequent 250 and 300 respondents, used Bayesian, normally distributed priors with means derived from the MNL models estimated based on the samples available at the time and arbitrarily selected standard deviations, usually between 20-50% of the estimates with some absolute minimum for the priors very close to zero (Bliemer et al, 2008). Respondents were asked to choose the preferred alternative in each of the choice tasks while taking into account the cost incurred with each option.…”

Section: Choice Experiments Designmentioning

confidence: 99%

Valuing the benefits of improved marine environmental quality under multiple stressors

Tuhkanen

Piirsalu

Nõmmann

et al. 2016

Science of The Total Environment

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Many marine ecosystems are under increasing pressure from multiple stressors. In the Baltic Sea, these stressors include oil and chemical spills from shipping, nutrient run-off from land and the introduction of non-indigenous species. All of these pressures have been growing over recent years. Increasing pressures lead to reductions in environmental quality, which produce negative effects on human well-being. In this paper, the choice experiment method is used to estimate the benefits to people in Estonia resulting from reductions in pressure from multiple stressors in the Baltic Sea. The main results show that, firstly, respondents have a positive, statistically-significant willingness to pay to reduce each of the three stressors analysed. Secondly, the average willingness to pay for the improvement in the quality of all Estonian marine waters to achieve Good Environmental Status is around 65 euro per household per year, with a 95% confidence interval of 48-77 euro. Thirdly, the greatest share of value of this total economic benefit is derived from the willingness to pay for reductions in the risk of large scale oil and chemical spills.

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Approximation of bayesian efficiency in experimental choice designs

Cited by 152 publications

References 34 publications

Climate change skepticism and index versus standard crop insurance demand in coastal Bangladesh

Climate change skepticism and index versus standard crop insurance demand in coastal Bangladesh

Understanding the distribution of economic benefits from improving coastal and marine ecosystems

Valuing the benefits of improved marine environmental quality under multiple stressors

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