Arbeitspapier

Confidence in public institutions is critical in containing the COVID-19 pandemic

This paper investigates the relative importance of confidence in public institutions to explain cross-country differences in the severity of the COVID-19 pandemic. We extend the related literature by employing regression and machine learning methods to identify the most critical predictors of deaths attributed to the pandemic. We find that a one standard deviation increase (e.g., the actual difference between the US and Finland) in confidence is associated with 350.9 fewer predicted deaths per million inhabitants. Confidence in public institutions is one of the most important predictors of deaths attributed to COVID-19, compared to country-level measures of individual health risks, the health system, demographics, economic and political development, and social capital. Our results suggest that effective policy implementation requires citizens to cooperate with their governments, and willingness to cooperate relies on confidence in public institutions.

Sprache
Englisch

Erschienen in
Series: GLO Discussion Paper ; No. 861

Klassifikation
Wirtschaft
Health: Government Policy; Regulation; Public Health
Capitalist Systems: Political Economy
Thema
COVID-19
death rate
confidence in public institutions
machine learning

Ereignis
Geistige Schöpfung
(wer)
Adamecz-Völgyi, Anna
Szabó-Morvai, Ágnes
Ereignis
Veröffentlichung
(wer)
Global Labor Organization (GLO)
(wo)
Essen
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Adamecz-Völgyi, Anna
  • Szabó-Morvai, Ágnes
  • Global Labor Organization (GLO)

Entstanden

  • 2021

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