Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach
Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach
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DOI：
10.1007/s10640-010-9389-y
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发表时间：
2010-12-01
影响因子：
5.9
通讯作者：
Hicks, Robert L.
中科院分区：
文献类型：
--
作者：
Bujosa, Angel;Riera, Antoni;Hicks, Robert L.
未观察到的偏好异质性已被广泛认为不仅是选择行为建模的关键问题，也是政策分析的关键问题。本文探讨了将异质性的娱乐需求的替代方法。我们应用一个混合模型相结合的离散和连续的异质性表示的口味，以捕捉潜在的类和随机参数logit规格的定义功能。该模型允许联合估计离散段和段内异质性提供了更丰富的解释偏好异质性。在马略卡岛的森林遗址的休闲旅行的数据库已被用来比较这种混合方法与常见的规格，如条件logit，随机参数logit，和潜在的类模型的经验表现。
Unobserved preference heterogeneity has been widely recognized as a critical issue not only for modelling choice behaviour, but also for policy analysis. This paper examines alternative approaches for incorporating heterogeneity in recreational demand. We apply a hybrid model combining discrete and continuous heterogeneity representations of tastes to capture the defining features of both the latent class and the random parameter logit specifications. This model allows for the joint estimation of discrete segments and within segment heterogeneity providing a richer interpretation of preference heterogeneity. A database of recreational trips to forest sites in Mallorca has been used to compare the empirical performance of this hybrid approach with common specifications such as the conditional logit, the random parameter logit, and the latent class model.