Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences

Choice experiments are a popular method of generating stated preference data for a variety of fields from marketing to health, transportation and environmental economics. They allow researchers to systematically vary choice attributes in a manner that can both increase estimation efficiency and alla...

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Published inEnvironmental & resource economics Vol. 77; no. 4; pp. 813 - 838
Main Authors Howard, Gregory, Roe, Brian E., Interis, Matthew G., Martin, Jay
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.12.2020
Springer Nature B.V
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Abstract Choice experiments are a popular method of generating stated preference data for a variety of fields from marketing to health, transportation and environmental economics. They allow researchers to systematically vary choice attributes in a manner that can both increase estimation efficiency and allay endogeneity concerns. An increasing number of studies have included elicited subjective beliefs in their stated preference models. We discuss why this strategy may be warranted in some cases, specifically when the researcher suspects subjects will engage in attribute value substitution or scenario adjustment. While there are multiple ways one could integrate subjective beliefs, in all cases a proper understanding of the econometric ramifications of their inclusion is necessary. We show that excluding subjective beliefs yields biased parameter estimates yet policy-relevant welfare measures, whereas including subjective beliefs yields unbiased parameter estimates but can generate less policy-relevant welfare estimates. We demonstrate how policy-relevant welfare measures should be calculated from models that include subjective beliefs and illustrate our theory with an application to payment for ecosystem services to farmers.
AbstractList Choice experiments are a popular method of generating stated preference data for a variety of fields from marketing to health, transportation and environmental economics. They allow researchers to systematically vary choice attributes in a manner that can both increase estimation efficiency and allay endogeneity concerns. An increasing number of studies have included elicited subjective beliefs in their stated preference models. We discuss why this strategy may be warranted in some cases, specifically when the researcher suspects subjects will engage in attribute value substitution or scenario adjustment. While there are multiple ways one could integrate subjective beliefs, in all cases a proper understanding of the econometric ramifications of their inclusion is necessary. We show that excluding subjective beliefs yields biased parameter estimates yet policy-relevant welfare measures, whereas including subjective beliefs yields unbiased parameter estimates but can generate less policy-relevant welfare estimates. We demonstrate how policy-relevant welfare measures should be calculated from models that include subjective beliefs and illustrate our theory with an application to payment for ecosystem services to farmers.
Author Howard, Gregory
Interis, Matthew G.
Martin, Jay
Roe, Brian E.
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SubjectTerms Attributes
Beliefs
Bias
Design
Discrete choice
Econometrics
Economic Policy
Economics
Economics and Finance
Ecosystem services
Ecosystems
Efficiency
Environmental Economics
Environmental Law/Policy/Ecojustice
Environmental Management
Estimates
Experiments
Farmers
Marketing
Mathematical models
Parameter estimation
Preferences
researchers
Substitutes
transportation
Value
Welfare
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Title Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences
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