The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment
Abstract
Concern exists that hypothetical willingness to pay questions overestimate real willingness to pay. In a field experiment, we compare two methods of removing hypothetical bias, a cheap talk approach and a certainty approach, with real purchases. We find evidence of hypothetical bias for unadulterated contingent valuation. Contingent valuation with certainty statements removes the hypothetical bias, but the cheap talk approach has no significant impact. Our findings suggest that willingness to pay can be accurately estimated by adding a simple follow-up question about the certainty of responses and that cheap talk is not a generally effective approach. Information about the willingness to pay for non-market goods is crucial for under-standing the welfare implications of different policies. Ideally we would like to rely on actual choices for inferring willingness to pay. But for many public programmes, especially those in the environmental and health area, revealed preference information is limited. This limitation can arise from the lack of markets or third-party financing. Researchers have therefore tried to estimate willingness to pay based on stated pref-erences that are hypothetical choices. This methodology, known as contingent valua-tion, typically involves a survey or experiment in which there is a detailed description of the good being offered, a description of how the good would be provided, a method for eliciting preferences for the good, follow up debriefing questions and questions about socioeconomic characteristics (Portney, 1994; Carson, 2001). Contingent valuation is still somewhat controversial in economics (Diamond and Hausman, 1994; Carson et al.,
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Using surveys to value public goods: the contingent valuation method
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0417 · Cited by 4,215
The Handbook of experimental economics
(1995) · Choice Reviews Online · doi:10.5860/choice.33-1645 · Cited by 3,679
The Handbook of Experimental Economics
(1995) · Princeton University Press eBooks · doi:10.1515/9780691213255 · Cited by 2,051
Contingent Valuation: Is Some Number Better than No Number?
Diamond, P. A., & Hausman, J. A. (1994) · Journal of Economic Perspectives · doi:10.1257/jep.8.4.45 · Cited by 1,894
The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework
Camerer, C. F., Hogarth, R. M., Budescu, D. V., & Eckel, C. (1999) · Elicitation of Preferences · doi:10.1007/978-94-017-1406-8_2 · Cited by 1,545
"Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences
Ariely, D., Loewenstein, G., & Prelec, D. (2003) · The Quarterly Journal of Economics · doi:10.1162/00335530360535153 · Cited by 1,452
The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework
Camerer, C. F., & Hogarth, R. M. (1999) · Journal of Risk and Uncertainty · doi:10.1023/a:1007850605129 · Cited by 1,428
Cummings, R. G., & Taylor, L. O. (1999) · American Economic Review · doi:10.1257/aer.89.3.649 · Cited by 1,292
Contingent Valuation: Controversies and Evidence
Carson, R. T., Flores, N. E., & Meade, N. F. (2001) · Environmental and Resource Economics · doi:10.1023/a:1011128332243 · Cited by 1,223
Cited by
Dependence of flood risk perceptions on socioeconomic and objective risk factors
Botzen, W. J. W., Aerts, J. C. J. H., & van den Bergh, J. C. J. M. (2009) · Water Resources Research · doi:10.1029/2009wr007743 · Cited by 358
van Herpen, E., van den Broek, E., van Trijp, H. C. M., & Yu, T. (2016) · Appetite · doi:10.1016/j.appet.2016.07.033 · Cited by 177
Short- and medium-run impacts of management training: An experiment in Tanzania
Higuchi, Y., Mhede, E. P., & Sonobe, T. (2019) · World Development · doi:10.1016/j.worlddev.2018.10.002 · Cited by 49
(2013) · PubMed · Cited by 12
Gerhart, J., & Howard, P. (2023) · Journal of Agriculture, Food Systems, and Community Development · doi:10.5304/jafscd.2023.124.003 · Cited by 1
Metadata
- Authors
- Blumenschein, K., Blomquist, G. C., Johannesson, M., Horn, N., & Freeman, P.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-12-20
- Volume
- 118
- Issue
- 525
- Pages
- 114-137
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W1512083895
- Cited by
- 377
- References
- 59
- FWCI
- 49.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment. https://app.cochat.ai/papers/10.1111/j.1468-0297.2007.02106.x
- The paper
- Blumenschein, K., Blomquist, G. C., Johannesson, M., Horn, N., & Freeman, P. (2008). Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment. The Economic Journal. https://doi.org/10.1111/j.1468-0297.2007.02106.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.