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

Richard Yao (), Riccardo Scarpa (), John Rose () and James Turner ()

Environmental & Resource Economics, 2015, vol. 62, issue 3, 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. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Attribute non-attendance; Choice experiment; Experimental design; Latent class logit model; Production forests; Threatened native species (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10640-014-9823-7

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