Inducing Patterns of Correlation and Substitution in Repeated Logit Models of Recreation Demand
研究重复嵌套Logit和重复混合Logit模型在季节性休闲需求中捕捉误差相关性和需求替代模式的能力，重点分析混合Logit如何放宽嵌套Logit的强假设，并探讨两种模型的价格弹性范围。
Abstract Repeated logit models are among the most commonly applied methods for modeling seasonal recreation demand. In this article we examine the capabilities of the repeated nested logit and repeated mixed logit models to capture patterns of error correlation and demand substitution. Particular attention is paid to the use of the mixed logit framework to generalize the strong assumptions on correlation patterns across sites and choice occasions imbedded in the nested logit model. We examine the implications for the range of price elasticities allowed in both models based on the implied correlation structures.