论文标题
一般多项式选择模型中的异质性
Heterogeneity in General Multinomial Choice Models
论文作者
论文摘要
不同的选民行为不同，不同的政府做出不同的决定，或者不同的组织被不同的裁决。许多研究问题对政治科学家来说很重要，关注选择行为，其中涉及处理名义级依赖变量。根据最大随机效用的原理，我们提出了一个灵活的，一般的异质多项式logit模型，用于研究选择行为的差异。该模型系统地说明了不被经典模型捕获的异质性，表明异质性的强度，并允许检查哪些解释变量引起异质性。由于提出的方法允许将异质性的理论期望纳入对名义因变量的分析中，因此可以应用于广泛的研究问题。我们的经验示例使用多方选举的数据来证明该模型在空间投票中的异质性研究中的好处。
Different voters behave differently, different governments make different decisions, or different organizations are ruled differently. Many research questions important to political scientists concern choice behavior, which involves dealing with nominal-scale dependent variables. Drawing on the principle of maximum random utility, we propose a flexible and general heterogeneous multinomial logit model for studying differences in choice behavior. The model systematically accounts for heterogeneity that is not captured by classical models, indicates the strength of heterogeneity, and permits examining which explanatory variables cause heterogeneity. As the proposed approach allows incorporating theoretical expectations about heterogeneity into the analysis of nominal dependent variables, it can be applied to a wide range of research problems. Our empirical example uses data on multiparty elections to demonstrate the benefits of the model in the study of heterogeneity in spatial voting.
