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Global Evidence on the Determinants of Public Trust in Governments during the Covid-19

Author

Listed:
  • Giray Gozgor

Abstract

Using the Worldwide Covid-19 Attitudes and Beliefs dataset covering 108,918 respondents from 178 countries, the paper examines the determinants of public trust in governments during the Covid-19. It is found that older and healthy people trust more to their governments. Education is negatively related to trust in governments. The results are robust to consider different measures of trust in government as well as including various controls, such as precautionary behaviors, first-order beliefs, second-order beliefs, and the Covid-19 prevalence in the country. The findings are also valid for countries at different stages of economic development as well to varying levels of globalization, institutional quality, and freedom of the press.

Suggested Citation

  • Giray Gozgor, 2020. "Global Evidence on the Determinants of Public Trust in Governments during the Covid-19," CESifo Working Paper Series 8313, CESifo.
    • Handle: RePEc:ces:ceswps:_8313
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    References listed on IDEAS

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    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Behavioral issues > Trust

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    Cited by:

    1. Van Thanh Vu, 2021. "Public Trust in Government and Compliance with Policy during COVID-19 Pandemic: Empirical Evidence from Vietnam," Public Organization Review, Springer, vol. 21(4), pages 779-796, December.
    2. Nina Boberg-Fazlic & Markus Lampe & Maja Uhre Pedersen & Paul Sharp, 2021. "Pandemics and protectionism: evidence from the “Spanish” flu," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.

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    Keywords

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    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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