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Cited by 377

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Defeating Dictators: Electoral Change and Stability in Competitive Authoritarian Regimes

Bunce, Valerie J., Wolchik, Sharon L.·2010·World Politics

Abstract

What explains electoral stability and change in competitive authoritarian regimes? This article addresses the question by comparing eleven elections—six of which led to continuity in authoritarian rule and five of which led to the victory of the opposition—that took place between 1998 and 2008 in competitive authoritarian regimes countries located in the postcommunist region. Using interviews conducted with participants in all of these elections and other types of data and constructing a research design that allowed the authors to match these two sets of elections on a number of important dimensions, they assess two groups of hypotheses—those that highlight institutional, structural, and historical aspects of regime and opposition strength on the eve of these elections and others that highlight characteristics of the elections themselves. The authors conclude that the key difference was whether the opposition adopted a tool kit of novel and sophisticated electoral strategies that made them more popular and effective challengers to the regime.

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Metadata

Authors
Bunce, V. J., & Wolchik, S. L.
Venue
World Politics
Publisher
Project MUSE
Published
2009-12-18
Volume
62
Issue
1
Pages
43-86
ISSN
  • 0043-8871 (ISSN-L)
  • 1086-3338
OpenAlex
W2172160015
Cited by
377
References
55
FWCI
44.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Defeating Dictators: Electoral Change and Stability in Competitive Authoritarian Regimes. https://app.cochat.ai/papers/10.1017/s0043887109990207
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Bunce, V. J., & Wolchik, S. L. (2010). Defeating Dictators: Electoral Change and Stability in Competitive Authoritarian Regimes. World Politics. https://doi.org/10.1017/s0043887109990207

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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