Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models
通过离散选择实验估计爱尔兰农村景观改善的经济效益，利用混合Logit模型获取个体支付意愿，再用随机效应模型分析其决定因素，相比传统方法提高了福利估计的解释力。
Abstract This paper reports the findings from a discrete‐choice experiment designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness‐to‐pay values for every individual in the sample. This departs from customary approaches in which the willingness‐to‐pay estimates are normally expressed as measures of central tendency of an a priori distribution. Random‐effects models for panel data are subsequently used to identify the determinants of the individual‐specific willingness‐to‐pay estimates. In comparison with the standard methods used to incorporate individual‐specific variables into the analysis of discrete‐choice experiments, the analytical approach outlined in this paper is shown to add considerable explanatory power to the welfare estimates.