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ID: 103993

Communist successor parties and government survival in Central / Tzelgov, Eitan

Tzelgov, Eitan	Journal Article
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2011.

Summary/Abstract

This article analyses coalition survival in eleven post-Communist, Central and Eastern European democracies. Survival analysis demonstrates that Communist Successor Parties (CSPs) are central to understanding government dissolution processes in post-communism. Coalitions spanning the 'regime divide' between CSPs and parties not affiliated with the ancien regime last longer than governments that do not. Regime divide governments also are more likely to fall during periods of positive economic performance, while other governments fall during periods of negative economic performance. The reason lies in parties' incentives to prolong their regime divide coalition with the CSP, especially in the face of adverse conditions.

Key Words

Government Survival ; Communist Successor Parties ; Regime Divide ; Electoral Deficit

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ID: 153929

Making embedded knowledge transparent: how the v-dem dataset opens new vistas in civil society research / Bernhard, Michael ; Coppedge, Michael ; Tzelgov, Eitan ; Jung, Dong-Joon

Bernhard, Michael	Journal Article
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Summary/Abstract

We show how the V-Dem data opens new possibilities for studying civil society in comparative politics. We explain how V-Dem was able to extract embedded expert knowledge to create a novel set of civil society indicators for 173 countries from 1900 to the present. This data overcomes shortcomings in the basis on which inference has been made about civil society in the past by avoiding problems of sample bias that make generalization difficult or tentative. We begin with a discussion of the reemergence of civil society as a central concept in comparative politics. We then turn to the shortcomings of the existing data and discusses how the V-Dem data can overcome them. We introduce the new data, highlighting two new indices—the core civil society index (CCSI) and the civil society participation index (CSPI)—and explain how the individual indicators and the indices were created. We then demonstrate how the CCSI uses embedded expert knowledge to capture the development of civil society on the national level in Venezuela, Ghana, and Russia. We close by using the new indices to examine the dispute over whether post-communist civil society is “weak.” Time-series cross-sectional analysis using 2,999 country-year observations between 1989 and 2012 fails to find that post-communist civil society is substantially different from other regions, but that there are major differences between the post-Soviet subsample and other post-communist countries both in relation to other regions and each other.

Key Words

Embedded Knowledge Transparent ; V-Dem Dataset Opens ; Civil Society Research

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