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It is all About Dissimilarity: Party System Characteristics and Their Proper Measurement

[conference paper]

Gendzwill, Adam
Zoltak, Tomasz

Abstract

In this article we propose a new conceptualization of the crucial party system characteristics: disproportionality, electoral volatility, territorial heterogeneity and inter-election incongruence. We argue that these characteristics can be studied as dissimilarities between vectors of votes or seats... view more

In this article we propose a new conceptualization of the crucial party system characteristics: disproportionality, electoral volatility, territorial heterogeneity and inter-election incongruence. We argue that these characteristics can be studied as dissimilarities between vectors of votes or seats. We present different specifications of vectors in order to address various research questions important for students of parties and party systems. Subsequently, developing the analyses of Monroe (1994) and Taagepera and Grofman (2003), we present nine measures of vectors’ dissimilarity: index of dissimilarity, Gallagher’s least squares measure and its transformations, cosine measure, Gini coefficient, Kullback-Leibler divergence (relative entropy), weighted variance and weighted standard deviation of ratios. We discuss their utility in empirical studies of main party system characteristics, using several dimensions of comparison, based on the formal postulates. We also add two new postulates concerning measure’s decomposability: horizontal (sumtype) and vertical (variance-type).... view less

Keywords
measurement; party; election result; party system; preference

Classification
Political Process, Elections, Political Sociology, Political Culture

Conference
72. Midwest Political Science Association Annual Conference. Chicago, 2014

Document language
English

Publication Year
2014

Page/Pages
25 p.

Status
not reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.