Valuations of aircraft noise: experiments in stated preference

The aim of this paper is to report new evidence relating to residents’ valuations of aircraft noise in three countries with an emphasis on a comparison of the valuations obtained using two contrasting approaches. One might be regarded as a standard stated choice approach offering pairwise comparisons of two alternatives characterised by a limited number of attributes. The other choice format adopted is innovative in drawing inspiration from the priority evaluator approach to embed aircraft movements alongside a wide range of other local factors that impact on residents’ quality of life. The paper addresses the differences in the results of the two approaches and explores the possible explanations for these variations. Although not conclusive, there is a suspicion that strategic bias may have influenced the results and we urge further research regarding incentives to such bias.     

Distal order effects in stated preference surveys

Stated preference researchers have previously demonstrated that a good's placement among a sequence of goods in a set of valuation questions (i.e. proximal order effects) can have a substantial impact on people's valuations of these different goods. However, the economic consequences of potential order effects stemming from other questions in a survey, prior to the valuation tasks, have received surprisingly little attention. Using an online climate change survey, we identify order effects created by prior attitude-elicitation questions, and we assess the potential impact of these distal order effects on willingness to pay (WTP) estimates for stylized climate change policies. We find that the order used in prior questions may change people's opinions toward various attributes of the good to be valued, and thereby change WTP by a substantial amount. This paper emphasizes the significance of order effects stemming from preliminary survey questions, and supports a call for diligence in the random ordering of all potentially influential preliminary information in stated preference surveys to minimize inadvertent effects from any single arbitrary ordering.     

Preference uncertainty in stated preference studies: facts and artefacts

The ordinal scale and polychotomous choice methods are two widely used techniques for estimating preference uncertainty in stated preference studies. This article presents the results of two experiments that apply these estimation techniques. The first experiment was designed to compare and contrast the scores of the ordinal scale and polychotomous choice method. The second experiment was conducted to test a scale that combines verbal expressions with numerical and graphical interpretations: a composite scale. The results of the study can be summarized in three key findings. First, the polychotomous choice method generates a higher proportion of ‘yes’ responses than the conventional dichotomous choice elicitation format. Second, the composite scale generates a significantly higher proportion of certain responses. Finally, the ordinal scale performs poorly on the ground of construct validity.     

Societal preferences for fertility treatment in Australia: a stated preference discrete choice experiment

Objective: To investigate preferences for fertility treatment from the Australian general population with the aims of calculating the willingness to pay in tax contribution for attributes (characteristics) that make up treatment and for an “ideal” fertility treatment program. We also assessed whether willingness-to-pay varies by the relationship status or sexual orientation of the patient.

Methods: A stated preference discrete choice experiment was administered to a panel of 801 individuals representative of the Australian general population. Seven attributes of fertility treatment under three broad categories were included: outcome, process, and cost. Attributes were identified through published literature, focus group discussions, expert knowledge, and a pilot study. A Bayesian fractional experimental design was used, and data analysis was performed using a generalized multinomial logit model. Further analyses included interaction terms and latent class modeling.

Results: Six of the seven attributes influenced the choice of a treatment program. Under process attributes, individuals preferred: continuity of care of clinic staff, where patients are seen by the same doctor but different nurses at each visit; “alternative” treatments being offered to all patients; and onsite clinic counseling and peer-support groups. Personalization and tailoring of the treatment journey were not important. Among outcome attributes, the improved success rate of having a baby per cycle and significant side-effects were considered important. Cost of treatment also influenced the choice of treatment program. Individual preferences for fertility treatment were not associated with patients’ relationship status or sexual orientation. Latent class modeling revealed sub-groups with distinct fertility treatment preferences.

Conclusion: This study provides important insights into the attributes that influence the preferences of fertility treatment in Australia. It also estimates socially-inclusive willingness-to-pay values in tax contributions for an “ideal” package of treatment. The results can inform economic evaluations of fertility treatment programs.     

Contingent valuation and actual payment for voluntarily provided passive-use values: Assessing the effect of an induced truth-telling mechanism and elicitation formats

A fundamental question about the contingent valuation (CV) method is to what degree it predicts actual payments (AP). This has particularly been an intriguing matter related to voluntary provision of public goods representing primarily passive-use values. This paper reports the results from such a CV–AP comparison. Applying a voluntary payment mechanism there exists a theoretical expectation of upward bias in CV estimates and downward bias in AP. This study applied an induced truth-telling mechanism in one treatment group to assess the hypothetical bias effect in CV. The CV estimates in this treatment group were significantly lower than in the group that did not face this mechanism. But this effect was limited to those responding/acting to dichotomous choice, not affecting those responding to open-ended questions about willingness to pay.     

Indices of biotic integrity in stated preference valuation of aquatic ecosystem services

Stated preference surveys often give minimal attention to distinctions between intermediate and final ecosystem services, leading to the potential for welfare estimates that overlook, misrepresent or double count associated values. This paper illustrates potential mechanisms through which multimetric indexes of the type developed in the ecological literature, here an index of biotic integrity, can be used within stated preference survey scenarios to both improve the validity of survey responses and provide otherwise unavailable information on willingness to pay for intermediate and final ecosystem services. We illustrate the approach using a choice experiment application to the restoration of migratory fish in a Rhode Island watershed. Where assumptions of the model hold, results can allow transparent disentanglement and estimation of marginal values for both intermediate and final ecosystem services.     

Mixing methods within stated preference environmental valuation: choice experiments and post-questionnaire qualitative analysis

Assessing public preferences for natural resources is a difficult task. The complexity of the research problem has encouraged practitioners to adopt qualitative approaches as exploratory and diagnostic tools within the conventionally more quantitative stated preference research. Building on best practice from previous studies, this paper reports the findings of post-questionnaire focus group analysis, investigating the adequacy of a choice experiment (CE) valuation exercise and its public acceptability. The specifics of the scenario and design choices are shown to markedly reduce problems of charity like and bid-realism/fair-share responses, observed in previous studies, and significant sensitivity to good characteristics is observed. However, a less tractable problem of valuing unfamiliar goods remains, with insights given regarding public acceptability and the usefulness of the findings to environmental decision-making.     

Valuing water level changes in reservoirs using two stated preference approaches: An exploration of validity

The combination of travel cost (TCM) and contingent behaviour (CB) methods is a relatively new research avenue in the recreational valuation community. Contrary to simple TCM applications, TCM-CB facilitates the ex ante valuation of marginal welfare effects resulting from environmental quality or quantity changes, similar to the contingent valuation method (CV). Even though TCM-CB is highly policy relevant, i.e. to inform changes in management regimes at recreational sites, the validity of estimates has hardly received any attention and little is known about the performance of TCM-CB compared to CV. In this paper, TCM-CB and CV are explored with respect to several validity tests in a case study on the recreational effects of water level changes in a reservoir. Overall, the findings reveal that TCM-CB and CV perform equally well in terms of theoretical validity, but that the marginal recreational value varies significantly between the two methods. We also observe that both methods face similar internal difficulties with respect to the stability of values when the order of a set of valuation questions is changed.     

Using stated preference discrete choice modelling to inform health care decision-making: A pilot study of breast screening participation

This study was an important start to explore the feasibility of applying stated preference discrete choice modelling (SPDCM) for use in developing breast screening participation enhancement strategies. It needs to be followed by further research to establish model validity and authoritative results. In the meantime a random effects binary probit choice model was estimated using a main effects with selected 2-way interaction design and a convenience sample of Australian breast cancer screening participants. A response rate of 48% was obtained. Clear preferences for different service configurations were revealed and used to demonstrate how potential strategies to enhance future participation rates of women placed on routine recall could be identified. As anticipated accuracy of screening was the most important attribute of the service to influence the probability of uptake but others were screening time, travel time, information about screening benefits and the desire for privacy lending support to the view that benefit assessment goes beyond health factors. In summary, the SPDCM approach can be regarded as a judicious approach for helping decision-makers improve screening participation.     

A contingent grouping approach for stated preferences

This paper introduces the theoretical and statistical foundations of contingent grouping, a variant of attribute-based stated preference methods, and checks for its implementation difficulty. Respondents are asked to simply group a number of alternatives as better or worse than a baseline or the status quo situation. A Monte Carlo approach shows that it performs statistically better than contingent choice according to the MSE criterion, and worse than contingent ranking, while a case study suggests that contingent grouping is less difficult to answer than contingent ranking. Furthermore, contingent choice shows a greater consistency in preferences with contingent grouping than with contingent ranking.     

Consistency and construction in stated WTP for health risk reductions: A novel scope-sensitivity test

A contingent valuation study is conducted to estimate willingness to pay (WTP) for reducing skin cancer risks. A split sample design contrasts dichotomous choice (DC) with open-ended (OE) methods for eliciting WTP. A novel scope test varies the remit of risk reductions from just the individual respondent to their entire household allowing us to examine both the statistical significance and scale of scope sensitivity. While OE responses fail such tests, DC responses pass both forms of testing. We conclude that conformity of the size of scope effects with prior expectations should form a focus for future validity testing.     

Preferences with and without prices - does the price attribute affect behavior in stated preference surveys?

The experimental as well as the non-market valuation literature include several examples of how an introduced price can affect behavior in otherwise not expected ways. It has become standard to include a price vector as an attribute in choice experiments, something that enables us to estimate a marginal willingness to pay for other attributes. We test the impact on preferences by an inclusion of a price in a choice experiment. Preferences are affected, as might be expected. However, also the relative ranking of individual attributes is affected.      

A Mechanism for Inducing Cooperation in Noncooperative Environments: Theory and Applications

We construct a market‐based mechanism that induces players in a noncooperative game to make the same choices as characterize cooperation. We then argue that this mechanism is applicable to a wide range of economic questions and illustrate this claim using the problem of “The Tragedy of the Commons.”     

Modeling self-censoring of polluter pays protest votes in stated preference research to support resource damage estimations in environmental liability

The identification and treatment of protest response in stated preference (SP) research such as contingent valuation is an underdeveloped area. Protest related to the polluter pays principle (PPP) is expected to pose an important hurdle to the application of SP research in environmental liability claims, for instance under the European Environmental Liability Directive. Our main objective is to test the effect of PPP induced protest votes on welfare measures for lost passive use value using different treatment procedures. We argue for a more reliable and defensible indicator of willingness to pay (WTP) in environmental liability litigation cases than current standard removal practices in cases where protest votes affect sample representativeness. Analyzing the impact of PPP-based protest response on WTP values with the help of a Full Information Maximum Likelihood sample selection model, a significant correlation is found between the decision to participate in the CV market and the WTP bids. Self-censoring biases average WTP and is correlated with factors such as respondent use of the resource and disposition towards its future protection. Simply removing protest response from the sample is indefensible and results in a biased estimation of WTP.     

A test based on panel refreshments for panel conditioning in stated utility measures

Adapting a methodology proposed in Das et al. (2011), this paper uses panel refreshments as a natural experiment to determine whether trends in stated utility measures observed in panel data are genuine or rather caused by measurement issues.     

The effect of sporting success and management failure on attendance demand in the Bundesliga: a revealed and stated preference travel cost approach

This study examines the private consumption benefits of sports attendance using revealed and stated preference data from 28 Football Bundesliga teams across three divisions. Survey respondents were presented with positive (sporting success) and negative (management failure) scenarios and asked for the number of game trips if each scenario occurred. The results of a pooled random effects Poisson model show that travel costs and ticket price have a significant negative effect on the number of home game trips. The weighted consumer surplus per game trip including travel costs and ticket prices is €345. Consumer surplus per game trip was found to change by €41 (first division) and €98 (second and third division) if the positive scenario occurred and by €39 if the negative scenario occurred.     

The impact of behavioural risk-reduction interventions on willingness to pay to avoid sexually transmitted infections: a stated preference study of justice-involved youth

Risky health behaviours, such as smoking, drinking and risky sex, are substantial contributors to the U.S. morbidity rates and healthcare costs. While economic models typically regard preferences as stable, a growing literature suggests that information, including how it interacts with intentions and attitudes, plays an important role in unhealthy behaviours. Relatedly, a large health literature demonstrates that theory-based behavioural interventions can successfully change risky behaviour. This study uses the contingent valuation (CV) survey method to investigate the impact of behavioural interventions on a novel outcome measure: the willingness to pay (WTP) to avoid the consequences associated with risky behaviour. Using novel pre- and post-intervention data from Project MARS (Motivating Adolescents to Reduce Sexual Risk), this study estimates the impact of the intervention on elicited WTP to avoid sexually transmitted infections (STIs). It is found that after the intervention, participants’ elicited WTP to avoid STIs were significantly higher, and more sensitive to differences in infection severity. These results suggest that the intervention may affect risky sexual behaviour by changing the perceived value of avoiding the consequences of risky sexual behaviour. Additionally, these findings contribute to an ongoing debate regarding the construct validity of CV studies in health economics.