Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment

By K. Blumenschein, Glenn C. Blomquist, Magnus Johannesson, N. Horn, Patricia R. Freeman. 2008

411 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Safety Research

View Paper: https://www.semanticscholar.org/paper/7f2ed495255679f137bbe6cdeb0b96b530644fee

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Citations in the corpus

Not All Scientists pay to be Scientists (2014, positive): “10 o measure the price of publishing, we employ a contingent valution approach similar to approaches used in economics and the areer choice literature (see Cable and Judge, 1994; Slaughter et al., 006; Blumenschein et al., 2008).”
2013WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys (2014, background): “However, other studies have had less success (Blumenschein et al., 2008; Aadland and Caplan, 2006, who found it increased WTP).”
Using EEG to Predict Consumers’ Future Choices (2015, background): “This forces the marketer to examine hypothetical choices with hypothetical rewards, resulting in a potential bias in which responses are overstated compared with incentivecompatible choices (Blumenschein et al. 2008; Cummings, Harrison, and Rutstrom 1995; Johannesson, Liljas, and Johansson 1998; Lis”
Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale (2009, positive): “11 In Blumenschein et al. (2008) we use a sample of 267 subjects including the 86 who were read a cheap talk script in contingent valuation. We do not use cheap talk observations in this study. Additional information about the asthma experiment is reported in Blumenschein et al. (2001). Additional i”
Willingness to pay for a Green Energy program: A comparison of ex-ante and ex-post hypothetical bias mitigation approaches (2007, positive): “Blumenschein et al. (1998), Blumenschein et al. (2001), and Blumenschein et al. (in press) consider only those respondents who indicate they are ‘‘definitely sure’’ about payment (the other category is ‘‘probably sure’’).”
Understanding the consequences of consequentiality: Testing the validity of stated preferences in the field (2012, background): “Many previous studies have hypothesized there to be a relationship between uncertainty and hypothetical bias, and have found evidence that controlling for uncertainty helps mitigate the bias (e.g. Champ et al., 1997; Blumenschein et al., 2008).”
Contemporary Guidance for Stated Preference Studies (2017, background): “…respondents are willing to take an oath of honesty, and (d) respondents’ environmental beliefs or attitudes (Champ et al. 1997; Champ and Bishop 2001; Blumenschein et al. 2008; Blomquist, Blumenschein, and Johannesson 2009; Herriges et al. 2010; Ready, Champ, and Lawton 2010; Jacquemet et al.…”
Valuation Techniques for Social Cost-Benefit Analysis: (2011, positive): “34 See Blumenschein et al. (2008) for a review of the methods developed to tackle hypothetical bias in contingent valuation.”
The value of a statistical life (2009, neutral): “It has been suggested that the hypothetical bias can be related to unfamiliarity with the good and preference uncertainty among the respondents (List and Gallet, 2001; Blumenschein et al., 2008).”
Handling respondent uncertainty in Choice Experiments: Evaluating recoding approaches against explicit modelling of uncertainty (2009, background): “The second approach is to have respondents first answer the payment question (‘Yes’/‘No’) and then state their degree of certainty regarding the answer just provided, either in the form of a numeric scale or as text statements (Li and Mattsson 1995; Champ et al. 1997; Loomis and Ekstrand 1998; Johan”
Dependence of flood risk perceptions on socioeconomic and objective risk factors (2009, background): “Continuous variables are created from the categorical variables income and the value of property, which represent monetary classes [e.g., Blumenschein et al., 2008].”