R. Yao
Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field
Yao, R.; Scarpa, R.; Rose, J.M.; Turner, J.
Abstract
Comparative results from an evaluation of inferred attribute non-attendance are provided for experimental designs optimised for three commonly employed statistical criteria, namely: orthogonality, Bayesian D-efficiency and optimal orthogonality in the difference. Survey data are from a choice experiment used to value the conservation of threatened native species in New Zealand’s production forests. In line with recent literature, we argue that attribute non-attendance can be taken as one of the important measures of behavioural efficiency. We focus on how this varies when alternative design criteria are used. Attribute non-attendance is inferred using an approach based on constrained latent classes. Given our proposed criterion to evaluate behavioural efficiency, our data indicate that the Bayesian D-efficiency criterion provides behaviourally more efficient choice tasks compared to the other two criteria.
Citation
Yao, R., Scarpa, R., Rose, J., & Turner, J. (2015). Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field. Environmental and Resource Economics, 62(3), 433-455. https://doi.org/10.1007/s10640-014-9823-7
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 21, 2014 |
Online Publication Date | Sep 7, 2014 |
Publication Date | Nov 1, 2015 |
Deposit Date | Jan 21, 2015 |
Publicly Available Date | Feb 4, 2016 |
Journal | Environmental and Resource Economics |
Print ISSN | 0924-6460 |
Electronic ISSN | 1573-1502 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 62 |
Issue | 3 |
Pages | 433-455 |
DOI | https://doi.org/10.1007/s10640-014-9823-7 |
Keywords | Attribute non-attendance, Choice experiment, Experimental design, Latent class logit model, Production forests, Threatened native species. |
Public URL | https://durham-repository.worktribe.com/output/1446990 |
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Copyright Statement
The final publication is available at Springer via http://dx.doi.org/10.1007/s10640-014-9823-7
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