Seminar series Processing economic signals Voter responses to growth unemployment inflation and stock markets Add to calendar 2025-02-13 17:00 2025-02-13 18:30 Europe/Rome Processing economic signals Seminar Room 2 Badia Fiesolana YYYY-MM-DD Print Share: Share on Facebook Share on BlueSky Share on X Share on LinkedIn Send by email Scheduled dates Feb 13 2025 17:00 - 18:30 CET Seminar Room 2, Badia Fiesolana Organised by Department of Political and Social Sciences In the context of the Comparative Politics Seminar Series, this session features a presentation by Mikael Persson (University of Gothenburg). Economic voting theory suggests that voters reward incumbents for strong economic performance and punish them for weak performance. However, this view often ignores the multidimensional nature of the economy. Hence, we lack systematic evidence about how voters simultaneously process multiple economic signals. This study provides a comprehensive examination of how voters respond to four key economic dimensions: growth, unemployment, inflation, and stock markets. We develop a theoretical framework distinguishing between different types of economic reasoning: macroeconomic, egotropic, sociotropic, and distributive reasoning. We first use descriptive data from OECD countries to understand the economy's dimensionality and analyze survey data from national election studies to assess the impact on economic evaluations. Finally, we present findings from survey experiments conducted in Germany, Sweden, and the United States, tailored to analyze the impact of the four economic dimensions in an ideal information setting. Our results reveal interesting patterns in how voters process economic information. Voters can discern relationships between economic dimensions and their effects on personal and economic circumstances, and distributional outcomes. Subsequently, all four signals independently affect preferences for economic policy and voting intentions. Inflation emerges as a dominant factor, shaping personal and national economic evaluations. Our findings challenge traditional approaches to economic voting by exploring how voters integrate multiple economic signals. By emphasizing the multidimensionality of economic signals, we highlight implications for democratic accountability.