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Who's to blame? How performance evaluation and partisanship influence responsibility attribution in grand coalition governments

Published online by Cambridge University Press:  02 January 2026

Carolina Plescia*
Affiliation:
Department of Government, University of Vienna, Vienna
Sylvia Kritzinger
Affiliation:
Department of Political Science, University of Pittsburgh, USA
*
Address for correspondence: Carolina Plescia, Department of Government, University of Vienna, Kolingasse 14–16, 1090 Vienna. Email: carolina.plescia@univie.ac.at
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Abstract

This article examines a neglected but fundamental facet of electoral accountability: responsibility attribution under grand coalition governments. Contrary to much of the existing literature that focuses on retrospective voting, this article focuses on responsibility attribution testing the effect of perceived performance of the government and partisan attachments for parties in grand coalition governments. Novel survey questions on responsibility attribution from Austria and Germany show that when the lines of responsibility are blurred, partisanship functions as an important heuristic for all voters including supporters of opposition parties. These findings have important implications for our understanding of electoral accountability and political representation in grand coalition governments.

Information

Type
Research Articles
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
Copyright
Copyright © 2021 The Authors. European Journal of Political Research published by John Wiley & Sons Ltd on behalf of European Consortium for Political Research.
Figure 0

Table 1. Responsibility attribution (column per cent)

Figure 1

Table 2. Party identification (column %)

Figure 2

Figure 1. Predicted probabilities of responsibility attribution by levels of dissatisfaction. Note: The plots show predicted probabilities and 95 per cent confidence intervals. The plots are based on Table A1. Other variables are held constant at their observed mean value.

Figure 3

Figure 2. The conditional effect of party identification on responsibility attribution: government parties’ identifiers. Note: The plots show predicted probabilities and 95 per cent confidence intervals. The plots are based on Table A2. Other variables are held constant at their observed mean value.

Figure 4

Figure 3. The conditional effect of party identification on responsibility attribution: opposition identifiers. Note: The plots show predicted probabilities and 95 per cent confidence intervals. The plots are based on Table A2. Other variables are held constant at their observed mean value.

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