Serial Nonparticipation in Repeated Discrete Choice Models
提出处理序列不参与（即多次选择同一选项）的计量策略，开发单重和双重门槛模型，并应用于选择实验和多地点休闲需求数据，发现门槛模型能显著改善统计拟合和政策含义。
We consider alternative econometric strategies for addressing serial nonparticipation, that is, repeated choice of the same alternative or same type of alternative across a series of choice occasions, in data typically analyzed within the repeated discrete choice framework. Single and double hurdle variants of the repeated discrete choice model are developed and applied to choice experiment and multisite seasonal recreation demand data. Our results suggest that hurdle models can generate significant improvements in statistical fit and qualitatively different policy implications, particularly in choice experiment applications where the proper treatment of serial nonparticipation is relatively more ambiguous.