2014
DOI: 10.1016/j.jfe.2014.05.001
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Testing the single opt-out reminder in choice experiments: An application to fuel break management in Spain

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Cited by 18 publications
(19 citation statements)
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“…For example, participants in online surveys usually have different characteristics from the average population, such as a higher level of education and underrepresentation of higher age groups, but it is not clear if these differences constitute a selection bias (Lindhjem and Navrud, 2011). Some other biases can arise when applying discrete choice experiments, such as cheap talk, hypothetical bias and non-attendance (Ladenburg and Olsen, 2014;Varela et al, 2014;Loomis, 2011;Hensher and Rose, 2009;Scarpa et al, 2009). Controlling for all of these biases is complex, and every application focuses on the more possible biases affecting their results.…”
Section: Discussionmentioning
confidence: 99%
“…For example, participants in online surveys usually have different characteristics from the average population, such as a higher level of education and underrepresentation of higher age groups, but it is not clear if these differences constitute a selection bias (Lindhjem and Navrud, 2011). Some other biases can arise when applying discrete choice experiments, such as cheap talk, hypothetical bias and non-attendance (Ladenburg and Olsen, 2014;Varela et al, 2014;Loomis, 2011;Hensher and Rose, 2009;Scarpa et al, 2009). Controlling for all of these biases is complex, and every application focuses on the more possible biases affecting their results.…”
Section: Discussionmentioning
confidence: 99%
“…The drawback of this approach is that the scientific link between action and end effects is many times uncertain and difficult to prove. The study by Varela et al (2014aVarela et al ( , 2014b was developed in a Mediterranean context and conveys simultaneously information on fire prevention and outcomes related to the expected burnt area. Thus, respondents expressed their preferences both for causal attributes (design of fuel breaks and cleaning techniques) and for effect attributes (density of fuel breaks and expected burnt area).…”
Section: Discussionmentioning
confidence: 99%
“…They compare WTP estimates between wildland urban interface (WUI) and urban residents and found similar results for both subsamples with mean WTP for thinning higher than for prescribed burning in all samples. Varela et al (2014aVarela et al ( , 2014b conducted a CM survey in the province of Malaga (southern Spain) where respondents were asked to make trade-offs among fuel break management scenarios, each of them showing different combinations of fuel break cleaning technique, design of fuel breaks and density of the fuel break network (coupled with an expected decrease in burnt area). The density of the fuel break network is the attribute that determined preferences to a greater extent.…”
Section: The Role Of Economic Valuation In Fire Prevention Planningmentioning
confidence: 99%
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“…Ladenburg and Olsen (2014) found that adding the Opt-Out Reminder to a survey design which included Cheap Talk leads to significant reductions in WTP estimates. Varela et al (2014) also tested the impact of presenting an Opt-Out Reminder together with Cheap Talk. Contrary to Ladenburg and Olsen (2014), the Opt-Out Reminder was not found to influence WTP.…”
Section: Cheap Talk Opt-out Reminder and Oath Scriptmentioning
confidence: 99%