A comparison of responses to single and repeated discrete choice questions

McNair, Ben; Bennett, Jeff; Hensher, David A.

doi:10.1016/j.reseneeco.2010.12.003

Cited by 37 publications

(45 citation statements)

References 47 publications

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“…However, all non-dictatorial mechanisms except a single binary choice format are generically incentive incompatible (Gibbard 1973;Satterthwaite 1975). Both mechanism design theory (Hurwicz 1960) and empirical evidence (Bateman et al 2008;Day et al 2011;McNair et al 2011) suggest that repeated choice tasks per respondent induce strategic behaviour.…”

Section: Introductionmentioning

confidence: 99%

Response Strategies and Learning in Discrete Choice Experiments

Scheufele

Bennett

2011

Environ Resource Econ

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This study explores ordering effects and response strategies in repeated binary discrete choice experiments. Mechanism design theory and empirical evidence suggest that repeated choice tasks per respondent induce strategic behaviour. We find evidence that strategic opportunities provided by the order in which choice sets are presented to respondents affect choice decisions (strategic response). The results suggest, however, that respondents may solely respond to high cost rather than low cost inconsistencies. That is, respondents are more cost sensitive, and thus have a lower willingness to pay (WTP), if the same or a similar level of provision was offered in a previous choice set at a lower cost than if it was not. Yet, the cost sensitivity, and thus WTP, remains unaffected if the same or a similar level of provision was offered in a previous choice set at a higher cost. Our findings further indicate that cost sensitivity increases (and thus WTP decreases), when respondents progress through the choice task, with this increase (decrease) lessening as more choice questions are answered. Possible explanations are value learning and strategic learning.

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Section: Introductionmentioning

confidence: 99%

Response Strategies and Learning in Discrete Choice Experiments

Scheufele

Bennett

2011

Environ Resource Econ

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“…Other papers have also concluded that the data are consistent with respondents using previously encountered information and past choices and that estimated parameters are sensitive to how choice sets are ordered. Strategic behaviour in respondents, particularly the weaker version of strategic behaviour, is not rejected (Scheufele and Bennett 2010a;2010b;McNair et al, 2011a).…”

Section: Heuristics Of Choice Set Inter-dependencementioning

confidence: 99%

“…Value learning involves the discovery of preferences and taste parameters may change according to the attribute levels presented to the respondent. Hence, preferences can be influenced by the starting point and subsequent attribute values (McNair et al, 2011a), with the 'good-deal / bad-deal' heuristic being a specific case in point. It is possible that in a group of respondents, decision process heterogeneity involving several heuristics are at work and no one heuristic dominates.…”

Section: Heuristics Of Choice Set Inter-dependencementioning

confidence: 99%

“…It is possible that in a group of respondents, decision process heterogeneity involving several heuristics are at work and no one heuristic dominates. McNair et al (2011a) show that responses to a sequence of binary choice tasks involving the provision of an underground electricity network are consistent with both a weak form of strategic misrepresentation and with a 'good deal/bad deal' heuristic, while in an equality constrained model of probabilistic decision processes, strategic misrepresentation and value learning can be modelled as distinct classes of heuristics for sub-groups of respondents, with the class membership probabilities of these heuristics estimated to be higher than the class membership probability for the utility function with the standard assumptions (McNair et al, 2011b).…”

Section: Heuristics Of Choice Set Inter-dependencementioning

confidence: 99%

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Embedding Decision Heuristics in Discrete Choice Models: A Review

Leong

Hensher

2012

Transport Reviews

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Contrary to the usual assumption of fixed, well-defined preferences, it is increasingly evident that individuals are likely to approach a choice task using rules and decision heuristics that are dependent on the choice environment. More specifically, heuristics that are defined by the local choice context, such as the gains or losses of an attribute value relative to the other attributes, seem to be consistently employed. Recent empirical findings also demonstrate that previous choices and previously encountered choice tasks shown to respondents can affect the current choice outcome, indicating a form of inter-dependence across choice sets. This paper is primarily focused on reviewing how heuristics have been modelled in stated choice data. The paper begins with a review of the heuristics that may be relevant for coping with choice task complexity and then proceeds to discuss some modelling approaches. Next, relational heuristics, such as prospect theory, random regret minimisation and extremeness aversion (compromise effect) are discussed.These are heuristics which operate within the local choice set. Another major class of heuristics reviewed in this paper pertains to ordering effects and more generally, on past outcomes and past attribute levels of the alternatives.

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“…In these types of surveys, the set of options from which the respondent chooses is referred to as the "choice set." Although most multinomial-choice surveys utilize "repeated choice," wherein each individual respondent evaluates multiple choice sets, we wished to avoid any of the confounding effects associated with this approach and presented each respondent with exactly one choice set to evaluate (Bateman et al 2001(Bateman et al , 2004Day et al 2012;Day and Prades 2010;DeShazo 2002;Holmes and Boyle 2005;Krosnick 1999;Ladenburg and Olsen 2008;and McNair, Bennett, and Hensher 2011). This also facilitates comparison with the results of the binary-choice version.…”

Section: Survey Design and Administrationmentioning

confidence: 99%

America’s Wetland? A National Survey of Willingness to Pay for Restoration of Louisiana’s Coastal Wetlands

et al. 2012

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. A B S T R A C TA nationwide survey was conducted to estimate welfare associated with large-scale wetland restoration in coastal Louisiana. Binary-and multinomial-choice survey instruments were administered via Knowledge Networks, using the latter to estimate willingness to pay (WTP) for increments in three ecosystem services:wildlife habitat provision, storm surge protection, and fisheries productivity. Results indicate that confidence in government agencies, political leanings, and "green" lifestyle choices were significant explanatory factors.All three ecosystem services significantly affected project support, with increased fisheries productivity having the largest marginal effect, followed by improved storm surge protection and increased wildlife habitat. Mean household WTP, in the form of a one-time tax, is estimated to be $909 (confidence interval $732-$1,185), with resource users being willing to pay substantially more. This figure implies a mean aggregate willingness to pay of $105 billion (confidence interval $84-$136 billion) in excess of the State of Louisiana's estimated $50 billion cost for a statewide restoration program similar to the hypothetical restoration in this study.

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A comparison of responses to single and repeated discrete choice questions

Cited by 37 publications

References 47 publications

Response Strategies and Learning in Discrete Choice Experiments

Response Strategies and Learning in Discrete Choice Experiments

Embedding Decision Heuristics in Discrete Choice Models: A Review

America’s Wetland? A National Survey of Willingness to Pay for Restoration of Louisiana’s Coastal Wetlands

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