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Cited by 434

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Revisiting Electoral Volatility in Post-Communist Countries: New Data, New Results and New Approaches

Powell, Eleanor Neff, Tucker, Joshua A.·2014·British Journal of Political Science
DOI 10.1017/s0007123412000531
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Abstract

This article provides a detailed set of coding rules for disaggregating electoral volatility into two components: volatility caused by new party entry and old party exit, and volatility caused by vote switching across existing parties. After providing an overview of both types of volatility in post-communist countries, the causes of volatility are analysed using a larger dataset than those used in previous studies. The results are startling: most findings based on elections in post-communist countries included in previous studies disappear. Instead, entry and exit volatility is found to be largely a function of long-term economic recovery, and it becomes clear that very little is known about what causes ‘party switching’ volatility. As a robustness test of this latter result, the authors demonstrate that systematic explanations for party-switching volatility in Western Europe can indeed be found.

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Metadata

Authors
Powell, E. N., & Tucker, J. A.
Venue
British Journal of Political Science
Publisher
Cambridge University Press (CUP)
Published
2013-01-23
Volume
44
Issue
1
Pages
123-147
ISSN
  • 0007-1234 (ISSN-L)
  • 1469-2112
DOI
10.1017/s0007123412000531
OpenAlex
W2321289126
Cited by
434
References
31
FWCI
127.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Revisiting Electoral Volatility in Post-Communist Countries: New Data, New Results and New Approaches. https://app.cochat.ai/papers/10.1017/s0007123412000531
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Powell, E. N., & Tucker, J. A. (2014). Revisiting Electoral Volatility in Post-Communist Countries: New Data, New Results and New Approaches. British Journal of Political Science. https://doi.org/10.1017/s0007123412000531

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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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