摘要：Although it is known that main effects models could misrepresent individuals’ preferences in choice experiment applications, a review of major journal articles suggests that the current practice is to obviate the second-order interaction designs. This article presents a partial log-likelihood analysis of a forest valuation study where interactions are found to be more important than some of the main effects.
