|Appears in Collections:||Economics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Modelling attribute non-attendance in choice experiments for rural landscape valuation|
Gilbride, Timothy J
Hensher, David A
discrete choice modelling
latent class models
stochastic attribute selection models
|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.|
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