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Model selection for the mixed logit with Bayesian estimation

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Author Info
Balcombe, Kelvin
Chalak, Ali
Fraser, Iain

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Abstract

In this paper, the mixed logit (ML) using Bayesian methods was employed to examine willingness-to-pay (WTP) to consume bread produced with reduced levels of pesticides so as to ameliorate environmental quality, from data generated by a choice experiment. Model comparison used the marginal likelihood, which is preferable for Bayesian model comparison and testing. Models containing constant and random parameters for a number of distributions were considered, along with models in [`]preference space' and [`]WTP space' as well as those allowing for misreporting. We found: strong support for the ML estimated in WTP space; little support for fixing the price coefficient a common practice advocated and adopted in the environmental economics literature; and, weak evidence for misreporting.

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File URL: http://www.sciencedirect.com/science/article/B6WJ6-4TK929S-1/2/93614c3613522959066205a58f177bc5
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Publisher Info
Article provided by Elsevier in its journal Journal of Environmental Economics and Management.

Volume (Year): 57 (2009)
Issue (Month): 2 (March)
Pages: 226-237
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Handle: RePEc:eee:jeeman:v:57:y:2009:i:2:p:226-237

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Web page: http://www.elsevier.com/locate/inca/622870

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Related research
Keywords: Mixed logit Willingness-to-pay Model comparison;

Cited by:
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  1. Kelvin Balcombe & Iain Fraser, 2009. "A General Treatment of Non-Response Data From Choice Experiments Using Logit Models," Studies in Economics 0916, Department of Economics, University of Kent. [Downloadable!]
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This page was last updated on 2009-12-3.


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