Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/318198 
Erscheinungsjahr: 
2025
Schriftenreihe/Nr.: 
GLO Discussion Paper No. 1612
Verlag: 
Global Labor Organization (GLO), Essen
Zusammenfassung: 
The study of well-being has evolved significantly over the past three decades, reflecting both theoretical advancements and real-world applications across diverse populations, domains, and times. One of the most pressing issues in contemporary well-being research is the intersection between experienced well-being measures and societal compliance, especially in times of uncertainty. Effective crisis response depends not only on well-designed policies but also on how populations emotionally interpret uncertainty and respond behaviourally. This paper introduces a framework in which experienced well-being indicators are repositioned as behavioural inputs that shape compliance with public health interventions. Drawing on interdisciplinary theories, we argue that emotional readiness plays a critical role in driving prosocial behaviour during times of crisis. Using a cross-national dataset and applying XGBoost and SHAP, we examine how dynamic, within-country features, both structural and subjective, predict compliance with COVID-19 vaccination policy. Results show that general trust and happiness are among the strongest predictors of compliance, often rivalling or exceeding traditional factors like GDP per capita or healthcare spending. Our findings show experienced well-being indicators not only predict compliance within countries but also have cross-national relevance, providing a foundation for more psychologically informed policy design. We propose that policymakers integrate these emotional indicators into crisis response systems to improve behavioural effectiveness and public cooperation.
Schlagwörter: 
Compliance
global crisis
experienced well-being
emotions
XGBoost
SHAP
JEL: 
C55
H12
I12
I18
Z13
Dokumentart: 
Working Paper

Datei(en):
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