Controlling for the Effects of Information in a Public Goods Discrete Choice Model
提出一种简约方法，利用陈述偏好数据控制公共物品离散选择模型中受访者信息集的差异，通过调整个体尺度参数的均值和方差来分离信息效应与偏好异质性，并用生物多样性保护实验数据验证了方法的有效性。
This paper develops a reduced form method of controlling for differences in information sets of subjects in public good discrete choice models, using stated preference data. The main contribution of our method comes from accounting for the effect of information provided during a survey on the mean and the variance of individual-specific scale parameters. In this way we incorporate both scale heterogeneity as well as observed and unobserved preference heterogeneity to investigate differences across and within information treatments. Our approach will also be useful to researchers who want to combine stated preference data sets while controlling for scale differences. We illustrate our approach using the data from a discrete choice experiment study of a biodiversity conservation program and find that the mean of individual-specific scale parameters and its variance in the sample is sensitive to the information set provided to the respondents.