Dealing with Heterogeneous Preferences Using Multilevel Mixed Models
提出多水平混合模型来捕捉个体、地点和群体层面的偏好异质性，发现个体周围环境有助于解释异质性，可用于识别影响环境决策的潜在结构。
One of the main issues on the research agenda regarding stated preference methods concerns the heterogeneity of preferences either within or between individuals. We present a multilevel mixed model (MMM) to capture heterogeneity in deterministic utility components, instead of simply leaving them to random components. MMM captures heterogeneity at different levels: individuals, locations, and groups of individuals sharing other characteristics. The results show that individuals’ surroundings help to capture heterogeneity, and that can be controlled by specifying these aspects as predictors for this behavioral model. Therefore, MMM may contribute to the identification of the underlying structure affecting environmental decisions. <i></i>