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Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field

Yao, R.; Scarpa, R.; Rose, J.M.; Turner, J.

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Authors

R. Yao

J.M. Rose

J. Turner



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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