Journal
EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS
Volume 36, Issue 2, Pages 151-174Publisher
OXFORD UNIV PRESS
DOI: 10.1093/erae/jbp012
Keywords
attribute non-attendance; discrete choice modelling; stated preference; latent class models; stochastic attribute selection models; C25; Q26; Q51
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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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