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Insights from the Field

Why Do Voters Care About Happiness? Well-being Predicts Election Outcomes Better Than GDP.


Happiness
Elections
Regression Analysis
Economic Voting Theory
Voting and Elections
AJPS
11 Stata files
2 PDF files
3 datasets
2 other files
Dataverse
Happiness and Voting: Evidence from Four Decades of Elections in Europe was authored by George Ward. It was published by Wiley in AJPS in 2020.

Policymakers increasingly rely on subjective well-being or happiness metrics to gauge societal progress. But does this matter politically?

Context: This analysis uses a long-run panel dataset of European elections spanning four decades.

Analysis Approach: Comparing the predictive power of well-being metrics against standard macroeconomic indicators for election results and voting intentions.

Findings: National measures of happiness consistently explain more variance in governing party vote share than traditional GDP or unemployment data. Similar patterns emerge at individual voter levels, both cross-sectionally and over time.

Why It Matters: These insights highlight the growing political salience of subjective well-being metrics as a predictor of electoral behavior across diverse European contexts.

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American Journal of Political Science
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