Abstract:A meta-analysis of hypothetical bias in stated preference valuation" (2005 Abstract. Individuals are widely believed to overstate their economic valuation of a good by a factor of two or three. This paper reports the results of a meta-analysis of hypothetical bias in 28 stated preference valuation studies that report monetary willingness-to-pay and used the same mechanism for eliciting both hypothetical and actual values. The papers generated 83 observations with a median ratio of hypothetical to actual value … Show more
“…Assessing the external validity of WTP estimates was beyond the scope of this review, whilst the external validity of WTP estimates have been robustly assessed in three systematic reviews and meta-analyses since 2004 [35][36][37]. In addition, included studies must have been able to define participants' choice sets in the real world, implicitly limiting the scope of this review to predictions of choices within choice sets which can be represented consistently in a stable manner across real-world and hypothetical tasks, e.g., uptake of a test, but not adherence to a treatment over time.…”
Section: Discussionmentioning
confidence: 99%
“…The external validity of WTP estimates has been explored fully and recently in the literature, and we therefore do not include WTP studies in this review. This work explores the external validity of willingness-to-pay estimates from contingent valuations and conjoint analyses, mostly in transport fields [32][33][34], including three meta-analyses [35][36][37]. These studies conclude that hypothetical bias can be substantial, with median bias levels ranging from 25 to 300%.…”
Discrete choice experiments (DCEs) are economic tools that elicit the stated preferences of respondents. Because of their increasing importance in informing the design of health products and services, it is critical to understand the extent to which DCEs give reliable predictions outside of the experimental context. We systematically reviewed the literature of published DCE studies comparing predictions to choices made in reality; we extracted individual-level data to estimate a bivariate mixed-effects model of pooled sensitivity and specificity. Eight studies met the inclusion criteria, and six of these gave sufficient data for inclusion in a meta-analysis. Pooled sensitivity and specificity estimates were 88% (95% CI 81, 92%) and 34% (95% CI 23, 46%), respectively, and the area under the SROC curve (AUC) was 0.60 (95% CI 0.55, 0.64). Results indicate that DCEs can produce reasonable predictions of health-related behaviors. There is a great need for future research on the external validity of DCEs, particularly empirical studies assessing predicted and revealed preferences of a representative sample of participants.
“…Assessing the external validity of WTP estimates was beyond the scope of this review, whilst the external validity of WTP estimates have been robustly assessed in three systematic reviews and meta-analyses since 2004 [35][36][37]. In addition, included studies must have been able to define participants' choice sets in the real world, implicitly limiting the scope of this review to predictions of choices within choice sets which can be represented consistently in a stable manner across real-world and hypothetical tasks, e.g., uptake of a test, but not adherence to a treatment over time.…”
Section: Discussionmentioning
confidence: 99%
“…The external validity of WTP estimates has been explored fully and recently in the literature, and we therefore do not include WTP studies in this review. This work explores the external validity of willingness-to-pay estimates from contingent valuations and conjoint analyses, mostly in transport fields [32][33][34], including three meta-analyses [35][36][37]. These studies conclude that hypothetical bias can be substantial, with median bias levels ranging from 25 to 300%.…”
Discrete choice experiments (DCEs) are economic tools that elicit the stated preferences of respondents. Because of their increasing importance in informing the design of health products and services, it is critical to understand the extent to which DCEs give reliable predictions outside of the experimental context. We systematically reviewed the literature of published DCE studies comparing predictions to choices made in reality; we extracted individual-level data to estimate a bivariate mixed-effects model of pooled sensitivity and specificity. Eight studies met the inclusion criteria, and six of these gave sufficient data for inclusion in a meta-analysis. Pooled sensitivity and specificity estimates were 88% (95% CI 81, 92%) and 34% (95% CI 23, 46%), respectively, and the area under the SROC curve (AUC) was 0.60 (95% CI 0.55, 0.64). Results indicate that DCEs can produce reasonable predictions of health-related behaviors. There is a great need for future research on the external validity of DCEs, particularly empirical studies assessing predicted and revealed preferences of a representative sample of participants.
“…List and Gallet 2001 found that willingness-to-pay studies have a lower bias than those that estimate willingness-to-accept, and that to some extent this bias may vary across elicitation mechanisms. Murphy, et al 2005 note that the number of willingness-to-accept studies is quite small and List and Gallet's result is sensitive to the outcomes of a single study. Similarly, many elicitation mechanisms in List and Gallet have only a single study so their conclusions about elicitation mechanisms should be interpreted with caution.…”
Section: Introductionmentioning
confidence: 99%
“…There is substantial evidence that these hypothetical values exceed actual payments (List and Gallet 2001;Murphy, et al 2005;Harrison and Rutström, forthcoming). In recognition of this hypothetical bias problem, the NOAA guidelines state that CV value estimates should be halved unless responses can be calibrated (Arrow, et al 1993).…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, many elicitation mechanisms in List and Gallet have only a single study so their conclusions about elicitation mechanisms should be interpreted with caution. Because of the lack of variability in the types of elicitation mechanisms, Murphy, et al 2005 group elicitation mechanisms based on whether they are choice-based (e.g., dichotomous choice, referendum, etc. ), and find that these mechanisms yield less hypothetical bias.…”
Abstract:This paper uses a meta-analysis to explore the relationship between hypothetical bias and the price respondents are asked to pay. For public goods, the results clearly indicate a difference in the price elasticity between hypothetical and actual payment conditions. Since the bias increases for larger dollar amounts, any simple guidelines, such as NOAA's "divide by two" rule of thumb, could be misleading. Future attempts to calibrate contingent valuation responses should reflect this price sensitivity.
Keywords
This paper develops a method that incorporates the public value for environmental cobenefits when a conservation buyer can purchase water quality credits based on nonmarket valuation results. We demonstrate this approach through an experiment with adult students in a classroom laboratory environment. Our application contributes to the study of individual preference and willingness to pay for cobenefits associated with the production of water quality credits in relation to the Ohio River Basin Trading Project. We use three different methods to elicit individuals' willingness to pay (WTP), including (1) a hypothetical referendum, (2) a real referendum lacking incentive compatibility, and (3) a real choice with incentive compatibility. Methodologically, our WTP estimates suggest individuals are more sensitive to the cost changes and reveal the lowest value in the real choice with incentive compatibility. Practically, we find individuals value certain cobenefits and credits as public goods. Incorporating public value toward cobenefits may improve the overall efficiency of a water quality trading market. Based on our specification of a planner's welfare function, results suggest a substantial welfare improvement after identifying an optimal allocation of a buyer's budget across credits derived from agricultural management practices producing different portfolios of cobenefits.
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