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

Anna Adamecz-Völgyi and Agnes Szabo-Morvai ()

No 861, GLO Discussion Paper Series from Global Labor Organization (GLO)

Abstract: 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.

Keywords: COVID-19; death rate; confidence in public institutions; machine learning (search for similar items in EconPapers)
JEL-codes: I18 P16 (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-cmp, nep-hea and nep-soc
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Working Paper: Confidence in public institutions is critical in containing the COVID-19 pandemic (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:861

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