Modelling Attribute Non-Attendance in Choice Experiments for Rural Landscape Valuation
Posted: 11 Aug 2009
Date Written: June 2009
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.
Keywords: attribute non-attendance, discrete choice modelling, stated preference, latent class models, stochastic attribute selection models, C25, Q26, Q51
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