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Till death do us part: a comparative study of government instability in 28 European democracies
Umeå University, Faculty of Social Sciences, Department of Political Science.
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis is rooted in the research tradition known as coalition politics, where governments, political parties and political institutions are the central focus. The main emphasis here is on government instability and the question of why governments in modern parliamentary democracies often come to an end before the next regular election. In five distinct but interrelated papers, the thesis explores the issue of early government termination and how it is affected by public support, economic developments and the functioning of the state apparatus. The studies included in this thesis generally take a quantitative approach and make use of a dataset that contains 640 governments in 29 European democracies. Their joint goal is to improve our understanding of when early termination happens by introducing and testing new explanatory factors as well as by improving how previously identified factors are modelled.

The first paper focuses on Central and Eastern Europe. It shows that the stability of governments in that region is affected by slightly different factors than those that impact on governments in Western Europe. In particular, ideological factors and political institutions are found to be less important in Central and Eastern Europe while the formal power basis of the government and the country’s economic performance matter more. In the second paper, co-authored with Professor Torbjörn Bergman, the state is brought into government stability research. The paper shows that countries with a lower quality of governance and a less efficient public sector have less stable governments. This is mainly because government parties struggle to achieve their policy goals when the state apparatus is inefficient and corrupt.

Paper 3, co-written with Associate Professor Johan Hellström, looks at how different types of governments respond to economic challenges. In particular, this paper demonstrates that the same changes in economic circumstances (e.g. increases in unemployment or inflation) have different effects on cabinet stability depending on which type of government is in charge. Single party governments are better equipped to deal with economic changes, because they are better positioned to devise new policy responses without having to compromise with other parties. Coalition governments, in contrast, become significantly more likely to terminate early when the economy takes a turn for the worse.

Finally, over the course of two papers I first explore new techniques for analysing polling data and then use them to empirically test whether governments sometimes choose termination as a way to cope with bad poll numbers. Most of the existing techniques for pooling polls and forecasting elections were explicitly designed with two party systems in mind. In Paper 4, I test some of these techniques to determine their usefulness in complex, multiparty systems, and I develop some improvements that enable us to take advantage of more of the information in the data. In the final paper, I combine the two themes of polling and government stability by looking at how changes in government popularity affect the likelihood of premature dissolution. I find that governments, particularly single party governments, do, in fact, use terminations as a strategic response to changes in their popularity among the public. When support is high, governments tend to opportunistically call an early election, whereas they tend to abandon or reshuffle the government when support is low.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2017. , 71 p.
Series
Statsvetenskapliga institutionens skriftserie, ISSN 0349-0831 ; 2017:2
Keyword [en]
Government instability, early termination, polling, coalition studies, comparative politics, duration modelling, Europe, cabinet turnover, cabinet dissolution, parliamentary democracies
National Category
Political Science (excluding Public Administration Studies and Globalization Studies)
Research subject
statskunskap
Identifiers
URN: urn:nbn:se:umu:diva-133482ISBN: 978-91-7601-699-2 (print)OAI: oai:DiVA.org:umu-133482DiVA: diva2:1088290
Public defence
2017-05-12, Hörsal C, Lindellhallen, Samhällsvetarhuset, Umeå, 13:15 (English)
Opponent
Supervisors
Available from: 2017-04-21 Created: 2017-04-12 Last updated: 2017-04-21Bibliographically approved
List of papers
1. Cabinet survival in Central and Eastern Europe: what do we know after 25 years of democracy?
Open this publication in new window or tab >>Cabinet survival in Central and Eastern Europe: what do we know after 25 years of democracy?
2017 (English)Manuscript (preprint) (Other academic)
National Category
Political Science
Identifiers
urn:nbn:se:umu:diva-133424 (URN)
Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-12
2. Government instability and the state
Open this publication in new window or tab >>Government instability and the state
2017 (English)Manuscript (preprint) (Other academic)
National Category
Political Science
Identifiers
urn:nbn:se:umu:diva-133426 (URN)
Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-19
3. How is government termination affected by the state of economy?: Payoff structures, type of government and economic changes
Open this publication in new window or tab >>How is government termination affected by the state of economy?: Payoff structures, type of government and economic changes
2017 (English)In: Government and Opposition, ISSN 0017-257X, E-ISSN 1477-7053Article in journal (Refereed) Accepted
National Category
Political Science
Identifiers
urn:nbn:se:umu:diva-133427 (URN)
Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-19
4. Picking the winner(s): Forecasting elections in multiparty systems
Open this publication in new window or tab >>Picking the winner(s): Forecasting elections in multiparty systems
2015 (English)In: Electoral Studies, ISSN 0261-3794, E-ISSN 1873-6890, Vol. 40, 1-13 p.Article in journal (Refereed) Published
Abstract [en]

From the 1970s onwards, a wide range of forecasting techniques have been developed in the literature on electoral forecasting. However, these models have primarily been applied in two-party, presidential democracies, with the US being by far the most popular country to investigate. The question thus arises whether the same techniques that have proved successful in this context can also be applied to the more complex, multiparty democracies in northern Europe. This paper seeks to answer this question and in the process makes two main contributions. Firstly, the popular dynamic linear model (Jackman, 2005) is tried and tested in Germany and Sweden where it is shown that reasonable forecasts can be made despite the complexity of the systems and the emergence of new parties. A novelty is then introduced when cyclical changes in party support are modelled through a seasonal component. This extension of the dynamic linear model helps to significantly lower the error in early forecasts and is thus something that could be useful in future applications of the model.

Place, publisher, year, edition, pages
Elsevier, 2015
Keyword
Election forecasting, Multiparty systems, Dynamic linear model, Political polling
National Category
Political Science (excluding Public Administration Studies and Globalization Studies)
Identifiers
urn:nbn:se:umu:diva-111529 (URN)10.1016/j.electstud.2015.06.003 (DOI)000367276800001 ()
Projects
Representative Democracy in Europe
Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2017-04-12Bibliographically approved
5. The verdict in the polls: how government stability is affected by popular support
Open this publication in new window or tab >>The verdict in the polls: how government stability is affected by popular support
2017 (English)Manuscript (preprint) (Other academic)
National Category
Political Science
Identifiers
urn:nbn:se:umu:diva-133428 (URN)
Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-19

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