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How do parties react to defections? Electoral strategies after a valence loss

Published online by Cambridge University Press:  02 January 2026

Andrea Ceron*
Affiliation:
Department of Social and Political Sciences, University of Milan, Italy
Elisa Volpi
Affiliation:
Department of Political Science and International Relations, University of Geneva, Switzerland
*
Address for correspondence: Elisa Volpi, Department of Political Science and International Relations, University of Geneva, Geneva, Switzerland; Email: elisa.volpi@unige.ch
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Abstract

Switches produce a lack of credibility and damage a party's image, signalling weakness and an inability to select loyal MPs and preserve unity. Accordingly, we consider party out‐switching as a valence loss for the party. By combining information on party manifestos with a novel database on 2053 episodes of party switching, we investigate which electoral strategies parties adopt to reduce the negative consequences of such valence loss. Analyzing 1,131 manifestos related to 135 parties in 14 Western European democracies, from 1945 to 2015, we show that parties try to restore their positive image by investing on valence, in terms of competence, clarity and core issues. An instrumental variable approach corroborates our results. The findings have implications for spatial modelling, valence politics, issue ownership and issue competition.

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 © 2022 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. Multilevel linear regression of Competence (H1), Clarity (H2), Issue Diversity (H3A), Core Issues (H3B) and Reputation, with each dependent variable expressed in difference (between its value at time ‘t’ and at time ‘t − 1’)

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