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

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  • 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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    6. Alesina, Alberto & Di Tella, Rafael & MacCulloch, Robert, 2004. "Inequality and happiness: are Europeans and Americans different?," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 2009-2042, August.
    7. Yann Algan & Pierre Cahuc & Marc Sangnier, 2016. "Trust and the Welfare State: the Twin Peaks Curve," Economic Journal, Royal Economic Society, vol. 126(593), pages 861-883, June.
    8. Dani Rodrik, 1998. "Why Do More Open Economies Have Bigger Governments?," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 997-1032, October.
    9. Haiyang Lu & Peishan Tong & Rong Zhu, 2020. "Does Internet Use Affect Netizens’ Trust in Government? Empirical Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 167-185, May.
    10. Gründler, Klaus & Krieger, Tommy, 2016. "Democracy and growth: Evidence from a machine learning indicator," European Journal of Political Economy, Elsevier, vol. 45(S), pages 85-107.
    11. Jianan Chen & Lanying Sun, 2019. "Media Influence on Citizens’ Government Trust: A Cross-Sectional Data Analysis of China," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(13), pages 1122-1134, October.
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    14. Niklas Potrafke, 2015. "The Evidence on Globalisation," The World Economy, Wiley Blackwell, vol. 38(3), pages 509-552, March.
    15. Reiner Eichenberger & Rainer Hegselmann & David Savage & David Stadelmann & Benno Torgler, 2020. "Certified Corona-Immunity as a Resource and Strategy to Cope with Pandemic Costs," CREMA Working Paper Series 2020-03, Center for Research in Economics, Management and the Arts (CREMA).
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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. Nina Boberg-Fazlic & Markus Lampe & Maja Uhre Pedersen & Paul Sharp, 2021. "Pandemics and protectionism: evidence from the “Spanish” flu," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
    2. 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.

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    More about this item

    Keywords

    the Covid-19 pandemic; trust in governments; global survey data; economic development; institutional quality; freedom of the press;
    All these keywords.

    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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