Modelling attribute non-attendance in choice experiments for rural landscape valuation

R. Scarpa, Juliana Gilbride, Danny Campbell, D.A. Hensher

Research output: Contribution to journalArticlepeer-review

193 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)151-174
Number of pages24
JournalEuropean Review of Agricultural Economics
Issue number2
Publication statusPublished - Jun 2009

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Economics and Econometrics

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