Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/10510
Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Modelling attribute non-attendance in choice experiments for rural landscape valuation
Author(s): Scarpa, Riccardo
Gilbride, Timothy J
Campbell, Danny
Hensher, David A
Contact Email: danny.campbell@stir.ac.uk
Keywords: attribute non-attendance
discrete choice modelling
stated preference
latent class models
stochastic attribute selection models
Issue Date: Jun-2009
Date Deposited: 16-Jan-2013
Citation: Scarpa R, Gilbride TJ, Campbell D & Hensher DA (2009) Modelling attribute non-attendance in choice experiments for rural landscape valuation. European Review of Agricultural Economics, 36 (2), pp. 151-174. https://doi.org/10.1093/erae/jbp012
Abstract: Non-market effects of agriculture are often estimated using discrete choice models from stated preference surveys. In this context we propose two ways of modelling attribute non-attendance. The first involves constraining coefficients to zero in a latent class framework, whereas the second is based on stochastic attribute selection and grounded in Bayesian estimation. Their implications are explored in the context of a stated preference survey designed to value landscapes in Ireland. Taking account of attribute non-attendance with these data improves fit and tends to involve two attributes one of which is likely to be cost, thereby leading to substantive changes in derived welfare estimates.
DOI Link: 10.1093/erae/jbp012
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