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Experimental design criteria and their behavioural efficiency : an evaluation in the field.

Yao, R. and Scarpa, R. and Rose, J.M. and Turner, J. (2015) 'Experimental design criteria and their behavioural efficiency : an evaluation in the field.', Environmental and resource economics., 62 (3). pp. 433-455.

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.

Item Type:Article
Keywords:Attribute non-attendance, Choice experiment, Experimental design, Latent class logit model, Production forests, Threatened native species.
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1007/s10640-014-9823-7
Publisher statement:The final publication is available at Springer via http://dx.doi.org/10.1007/s10640-014-9823-7
Record Created:04 Feb 2016 10:35
Last Modified:04 Feb 2016 11:28

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