Scenario adjustment in stated preference research

Cameron, Trudy Ann; DeShazo, J.R.; Johnson, Erica H.

doi:10.1016/s1755-5345(13)70017-4

Cited by 29 publications

(13 citation statements)

References 18 publications

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“…Baseline conditions and changes, as well as other components of the valuation scenario, may include subjective perceptions by respondents (e.g., perceived versus actual health risks) that require elicitation and communication to avoid scenario rejection or adjustment (Adamowicz et al 1997(Adamowicz et al , 2014Cameron, DeShazo, and Johnson 2011). Scenario design must take subjective perceptions into consideration when describing the actual change to be valued.…”

Section: Scenario Descriptionsmentioning

confidence: 99%

“…SP studies, this is often conceptualized as a case of risk, in which a probability distribution of possible states-of-the-world is known or can be approximated. A growing literature illustrates the relevance of risk and uncertainty (e.g., over the change in an environmental outcome) for SP studies (e.g., Roberts, Boyer, and Lusk 2008;Hanley, Kriström, and Shogren 2009;Shaw and Baker 2010;Cameron et al 2011;Glenk andColombo 2011, 2013;Akter, Bennett, and Ward 2012;Rolfe and Windle 2015), following similar relevance for welfare analysis in general (Graham 1981). This work demonstrates that the omission of relevant risk information from scenarios (i.e., treating risky outcomes as certain) can lead to empirical value estimates that do not reflect ex ante welfare change under uncertainty.…”

Section: Scenario Descriptionsmentioning

confidence: 99%

“…Hence, when risk or uncertainty is an important aspect of the baseline or change being valued, scenarios should communicate this information in terms that are readily understood by respondents (Lundhede et al 2015). 19 As above, survey designers should consider the possibility that subjects will use subjective perceptions to modify objective risk information in scenarios (Cameron 2005b(Cameron , 2011Lee and Cameron 2008;Cai, Cameron, and Gerdes 2010;Adamowicz et al 2014).…”

Section: Scenario Descriptionsmentioning

confidence: 99%

See 2 more Smart Citations

Contemporary Guidance for Stated Preference Studies

Johnston

Boyle

Adamowicz

et al. 2017

Journal of the Association of Environmental and Resource Econom

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807

701

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This article proposes contemporary best-practice recommendations for stated preference (SP) studies used to inform decision making, grounded in the accumulated body of peer-reviewed literature. These recommendations consider the use of SP methods to estimate both use and non-use (passive-use) values, and cover the broad SP domain, including contingent valuation and discrete choice experiments. We focus on applications to public goods in the context of the environment and human health but also consider ways in which the proposed recommendations might apply to other common areas of application. The recommendations recognize that SP results may be used and reused (benefit transfers) by governmental agencies and nongovernmental organizations, and that all such applications must be considered. The intended result is a set of guidelines for SP studies that is more comprehensive than that of the original National Oceanic and Atmospheric Administration (NOAA) Blue Ribbon Panel on contingent valuation, is more germane to contemporary applications, and reflects the two decades of research since that time. We also distinguish between practices for which accumulated research is sufficient to support recommendations and those for which greater uncertainty remains. The goal of this article is to raise the quality of SP studies used to support decision making and promote research that will further enhance the practice of these studies worldwide.

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Section: Scenario Descriptionsmentioning

confidence: 99%

Section: Scenario Descriptionsmentioning

confidence: 99%

Section: Scenario Descriptionsmentioning

confidence: 99%

See 1 more Smart Citation

Contemporary Guidance for Stated Preference Studies

Johnston

Boyle

Adamowicz

et al. 2017

Journal of the Association of Environmental and Resource Econom

Self Cite

807

701

View full text Add to dashboard Cite

show abstract

“…As a case in point, stated preference data can be vulnerable to bias because (a) it often provides respondents with more information about hypothetical scenarios than they would have access to in the real world (TRB, 2000, p. 26), and (b) respondents may be skeptical about the realism of certain scenarios (Cameron, Deshazo, & Johnson, 2010). Several researchers have suggested that stated preference experiments can be made more reliable by using them in combination with other survey tools.…”

Section: Industry Examples and Framework For Actionmentioning

confidence: 99%

Why and How to Use Customer Opinions: A Quality-of-Life and Customer Satisfaction-Oriented Foundation for Performance-Based Decision-Making

2014

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The concepts of 'customer satisfaction' (CS) and 'quality of life' (QOL) have both been used, on a limited basis, in strategic planning and performance measurement at state departments of transportation. However, the meanings and usefulness of these concepts are still unclear or evolving to many practitioners. Based on a review of the literature and customer opinion data collected for various transportation studies in the USA and Europe, this paper offers two important contributions to the transportation literature. The paper clarifies the relationship between the CS and QOL concepts, placing CS in the broader context of customer opinions and subjective well-being. The paper then identifies six categories of survey tools for collecting customer opinions, describing how each can be used within a performance management framework to reveal the QOL impacts of transportation decisions. Agencies can use the definitions, conceptual relationships, performance measures, and decision-making processes discussed in this paper to refine their performance management programs, to better understand customer and public perceptions, and to make systematic progress toward their QOL oriented goals.

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“…Additionally, as addressed in Cameron et al (2007), our survey was designed to elicit useful information about preferences over the stated health scenarios through tutorials and careful explanations about how the choice tasks should be approached. However, the potential for respondents to subjectively adjust the choice scenarios to more closely reflect their own situation was assessed through follow-up questions.…”

mentioning

confidence: 99%

Demand for health risk reductions: A cross-national comparison between the U.S. and Canada

2010

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Using a large stated preference survey conducted across the U.S. and Canada, we assess differences in individual willingness to pay (WTP) for health risk reductions between the two countries. Our utility-theoretic choice model allows for systematically varying marginal utilities for avoided future time in different adverse health states (illness-years, recovered/remission years, and lost life-years). We find significant differences between Canadian and U.S. preferences. WTP also differs systematically with age, gender, education, and marital status, as well as a number of attitudinal and subjective health-perception variables. Age profiles for WTP are markedly different across the two countries. Canadians tend to display flatter age profiles, with peak WTP realized at older ages. Keywords Willingness to pay for a microrisk reduction . Value of a statistical life (VSL) . Stated preference . Health risks . International comparison JEL classification Q51 . I18Are there differences between the U.S. and Canada in how people value new programs that reduce their health risks? If so, how large are these differences? Which factors explain the observed differences? Specifically, are they explained simply by differences in the socio-economic characteristics of people in each county? Or are they due to subtle differences in basic preferences for risk protection? Or are they due to measurable differences in individual health beliefs that arise from differences in health care systems? If such beliefs are correlated with health care systems, they J Risk Uncertain (2010) 41:245-273

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Scenario adjustment in stated preference research

Cited by 29 publications

References 18 publications

Contemporary Guidance for Stated Preference Studies

Contemporary Guidance for Stated Preference Studies

Why and How to Use Customer Opinions: A Quality-of-Life and Customer Satisfaction-Oriented Foundation for Performance-Based Decision-Making

Demand for health risk reductions: A cross-national comparison between the U.S. and Canada

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