Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field
- Publication Type:
- Journal Article
- Citation:
- Environmental and Resource Economics, 2015, 62 (3), pp. 433 - 455
- Issue Date:
- 2015-11-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| 10.1007%2Fs10640-014-9823-7.pdf | Published Version | 698.4 kB |
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© 2014, Springer Science+Business Media Dordrecht. 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.
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