Multichoice Logit: Modeling Incomplete Preference Rankings of Classical Concerts
开发了一个计量模型，用于分析偏好信息不完整的数据，其中仅对最偏好的组有完整排序，模型基于古典音乐会偏好数据估计。
In this article we develop an econometric model to analyze data on incomplete information on preferences. The available information consists of groups of alternatives that are preferred to other groups of alternatives. Only for the most preferred group is a full ranking observed. The resulting model is estimated on data concerning preferences on classical concerts.