We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham Research Online
You are in:

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.


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
Download PDF
Publisher Web site:
Publisher statement:The final publication is available at Springer via
Date accepted:21 August 2014
Date deposited:04 February 2016
Date of first online publication:07 September 2014
Date first made open access:No date available

Save or Share this output

Look up in GoogleScholar