A Comparative Analysis of Political Factions Using Multinomial Probit Techniques

政治理论中一个长期的讨论涉及派系之间的关系和实现共同利益的可能性。 例如，麦迪逊认为，在某些情况下，派系的影响可以减轻。 这项研究的前提是，派系涉及群体的个人的选择是高度相关的。 这一假设，这是在传统的概念，派系，允许最近的统计技术在多项式概率（MNP）建模被用来间接计算在人口中的行为相关性。 为了测试这种建模策略的能力，MNP被用来生成六个欧洲政治和美国国会的几何表示。 这些模型阐明了向心或离心政治力量在多大程度上将派别模式与政党联系起来。 选择进行分析的国家允许测试几种不同的选举制度，以及这些投票规则如何产生一个占主导地位的中间党的众多政党。

A longstanding discussion in political theory concerns the relationship between factions and the possibility of attaining the common good. Madison, for example, argued that the effects of faction could be mitigated under certain circumstances. This research begins with the premise that factions involve groups of individuals whose choices are highly correlated. This assumption, which is in line with traditional concepts of factions, allows recent statistical techniques in multinomial probit (MNP) modelling to be used to indirectly compute behavioral correlations in a population. To test the capacity of this modelling strategy, MNP is used to generate geometric representations of six European polities and the U.S. Congress. Such models clarify the extent to which centripetal or centrifugal political forces connect factional patterns to political parties. The nations chosen for analysis allow for tests of several different electoral systems and how those voting rules give rise to a multitude of parties with a dominant center party.