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Not as bad as I thought’: economic attitudes and motivated reasoning in coalition governments

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  • Kavetsos, Georgios
  • Krekel, Christian
  • Melios, George

Abstract

Two prominent mechanisms have been advanced to explain the effects of election outcomes on economic attitudes/perceptions: partisan competence attribution, based on voters' genuine belief of an elected party's competence; and partisan motivated reasoning, where voters change their economic attitudes so as to remain consistent with their past behavior/view. To date, these two mechanisms have not been considered jointly. We draw on a unique, closely spaced, panel dataset around the 2013 German general elections to consider retrospective (past evaluations) and prospective (future expectations) attitudes about both one's personal economic situation and that of the national economy. We find no evidence for competence attribution; voters of the future coalition parties do not expect higher household incomes nor their job situation to improve. We find changes in retrospective attitudes about the national economy, explained by partisan motivated reasoning given a political alliance that was negated and depreciated throughout the pre‐election period. We discuss the implications these results have.

Suggested Citation

  • Kavetsos, Georgios & Krekel, Christian & Melios, George, 2025. "Not as bad as I thought’: economic attitudes and motivated reasoning in coalition governments," LSE Research Online Documents on Economics 127528, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:127528
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    File URL: http://eprints.lse.ac.uk/127528/
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    References listed on IDEAS

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    1. Elias Dinas, 2014. "Does Choice Bring Loyalty? Electoral Participation and the Development of Party Identification," American Journal of Political Science, John Wiley & Sons, vol. 58(2), pages 449-465, April.
    2. Jess Benhabib & Mark M Spiegel, 2019. "Sentiments and Economic Activity: Evidence from US States," The Economic Journal, Royal Economic Society, vol. 129(618), pages 715-733.
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. Ebonya Washington & Sendhil Mullainathan, 2009. "Sticking with Your Vote: Cognitive Dissonance and Political Attitudes," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 86-111, January.
    5. Christian Gillitzer & Nalini Prasad, 2018. "The Effect of Consumer Sentiment on Consumption: Cross-Sectional Evidence from Elections," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 234-269, October.
    6. Vuchelen, Jef, 1995. "Political events and consumer confidence in Belgium," Journal of Economic Psychology, Elsevier, vol. 16(4), pages 563-579, December.
    7. Alan S. Gerber & Gregory A. Huber, 2010. "Partisanship, Political Control, and Economic Assessments," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 153-173, January.
    8. Ivo Bischoff & Lars-H. Siemers, 2013. "Biased beliefs and retrospective voting: why democracies choose mediocre policies," Public Choice, Springer, vol. 156(1), pages 163-180, July.
    9. Joseph Gershtenson & Jeffrey Ladewig & Dennis L. Plane, 2006. "Parties, Institutional Control, and Trust in Government," Social Science Quarterly, Southwestern Social Science Association, vol. 87(4), pages 882-902, December.
    10. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, June.
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    More about this item

    Keywords

    elections; voting; attitudes; motivated reasoning;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics

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