IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_10348.html
   My bibliography  Save this paper

Crisis Experience and the Deep Roots of Covid-19 Vaccination Preferences

Author

Listed:
  • Ekaterina Borisova
  • Klaus Gründler
  • Armin Hackenberger
  • Anina Harter
  • Niklas Potrafke
  • Koen Schoors

Abstract

We examine the deep roots of preferences for vaccination against COVID-19, moving beyond proximate factors which can only account for part of the observable heterogeneity in the willingness to get vaccinated. Our model on experience-based learning predicts that exposure to past disruptive crises increases individuals’ willingness to acquire and take a promising remedy when new crises occur. Using micro-level data on vaccination preferences for individuals from 19 countries, we find strong evidence for our prediction. We investigate the role of competing vaccines exploiting original geocoded survey data from Russia. Consistent with our theory, past crisis experience decreases vaccination willingness when individuals have learned to distrust the effectiveness of government administered remedies.

Suggested Citation

  • Ekaterina Borisova & Klaus Gründler & Armin Hackenberger & Anina Harter & Niklas Potrafke & Koen Schoors, 2023. "Crisis Experience and the Deep Roots of Covid-19 Vaccination Preferences," CESifo Working Paper Series 10348, CESifo.
  • Handle: RePEc:ces:ceswps:_10348
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10348.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Christina Demski & Stuart Capstick & Nick Pidgeon & Robert Gennaro Sposato & Alexa Spence, 2017. "Experience of extreme weather affects climate change mitigation and adaptation responses," Climatic Change, Springer, vol. 140(2), pages 149-164, January.
    2. Dominic Rohner & Mathias Thoenig & Fabrizio Zilibotti, 2013. "Seeds of distrust: conflict in Uganda," Journal of Economic Growth, Springer, vol. 18(3), pages 217-252, September.
    3. Gründler, Klaus & Krieger, Tommy, 2021. "Using Machine Learning for measuring democracy: A practitioners guide and a new updated dataset for 186 countries from 1919 to 2019," European Journal of Political Economy, Elsevier, vol. 70(C).
    4. Atreya, Ajita & Ferreira, Susana & Michel-Kerjan, Erwann, 2015. "What drives households to buy flood insurance? New evidence from Georgia," Ecological Economics, Elsevier, vol. 117(C), pages 153-161.
    5. Ruslan Dokhov & Mikhail Topnikov, 2021. "Everyday mobility as a vulnerability marker: The uneven reaction to coronavirus lockdown in Russia," Environment and Planning A, , vol. 53(4), pages 612-615, June.
    6. Klaus Gründler & Niklas Potrafke, 2020. "Experts and Epidemics," CESifo Working Paper Series 8556, CESifo.
    7. Cassar, Alessandra & Healy, Andrew & von Kessler, Carl, 2017. "Trust, Risk, and Time Preferences After a Natural Disaster: Experimental Evidence from Thailand," World Development, Elsevier, vol. 94(C), pages 90-105.
    8. Malmendier, Ulrike & Nagel, Stefan & Yan, Zhen, 2021. "The making of hawks and doves," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 19-42.
    9. Monica Martinez-Bravo & Andreas Stegmann, 2022. "In Vaccines We Trust? The Effects of the CIA’s Vaccine Ruse on Immunization in Pakistan," Journal of the European Economic Association, European Economic Association, vol. 20(1), pages 150-186.
    10. Grewenig, Elisabeth & Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger & Zierow, Larissa, 2021. "COVID-19 and educational inequality: How school closures affect low- and high-achieving students," European Economic Review, Elsevier, vol. 140(C).
    11. Rajeev K. Goel & Michael A. Nelson, 2021. "Drivers of COVID-19 vaccinations: vaccine delivery and delivery efficiency in the United States," Netnomics, Springer, vol. 22(1), pages 53-69, June.
    12. Justin Gallagher, 2014. "Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 206-233, July.
    13. Ulrike Malmendier, 2021. "Experience Effects in Finance: Foundations, Applications, and Future Directions [X-capm: an extrapolative capital asset pricing model]," Review of Finance, European Finance Association, vol. 25(5), pages 1339-1363.
    14. Christian Bjørnskov, 2021. "Did Lockdown Work? An Economist’s Cross-Country Comparison," CESifo Economic Studies, CESifo Group, vol. 67(3), pages 318-331.
    15. Graeber, Daniel & Schmidt-Petri, Christoph & Schröder, Carsten, 2021. "Attitudes on voluntary and mandatory vaccination against COVID-19: Evidence from Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(5), pages 1-18.
    16. repec:zbw:bofitp:2021_009 is not listed on IDEAS
    17. Katrin Schmelz & Samuel Bowles, 2021. "Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(25), pages 2104912118-, June.
    18. Ekaterina Borisova & Timothy Frye & Koen Schoors & Vladimir Zabolotskiy, 2022. "Fear, Trust and Demand for Regulation: Evidence from the Covid-19 Pandemic in Russia," CESifo Working Paper Series 10156, CESifo.
    19. Alberto Alesina & Nicola Fuchs-Schündeln, 2007. "Goodbye Lenin (or Not?): The Effect of Communism on People," American Economic Review, American Economic Association, vol. 97(4), pages 1507-1528, September.
    20. Eduardo Cavallo & Sebastian Galiani & Ilan Noy & Juan Pantano, 2013. "Catastrophic Natural Disasters and Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1549-1561, December.
    21. Borisova, Ekaterina & Ivanov, Denis S., 2021. "Covid-19 vaccine efficacy and Russian public support for anti-pandemic measures," BOFIT Discussion Papers 9/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    22. Malmendier, Ulrike & Pouzo, Demian & Vanasco, Victoria, 2020. "Investor experiences and financial market dynamics," Journal of Financial Economics, Elsevier, vol. 136(3), pages 597-622.
    23. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    24. Egorov, Georgy & Enikolopov, Ruben & Makarin, Alexey & Petrova, Maria, 2021. "Divided we stay home: Social distancing and ethnic diversity," Journal of Public Economics, Elsevier, vol. 194(C).
    25. Tahir Andrabi & Jishnu Das, 2017. "In Aid We Trust: Hearts and Minds and the Pakistan Earthquake of 2005," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 371-386, July.
    26. Vincenzo Galasso & Vincent Pons & Paola Profeta & Michael Becher & Sylvain Brouard & Martial Foucault, 2020. "Gender Differences in COVID-19 Related Attitudes and Behavior: Evidence from a Panel Survey in Eight OECD Countries," SciencePo Working papers Main hal-03594437, HAL.
    27. Brown, Philip & Daigneault, Adam J. & Tjernström, Emilia & Zou, Wenbo, 2018. "Natural disasters, social protection, and risk perceptions," World Development, Elsevier, vol. 104(C), pages 310-325.
    28. Ulrike Malmendier, 2021. "FBBVA Lecture 2020: Exposure, Experience, and Expertise: Why Personal Histories Matter in Economics [Macroeconomic Experiences and Risk Taking of Euro Area Households]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 2857-2894.
    29. Callen, Mike & Isaqzadeh, Mohammad & Long, James D. & Sprenger, Charles, 2014. "Violence and risk preference: experimental evidence from Afghanistan," LSE Research Online Documents on Economics 102932, London School of Economics and Political Science, LSE Library.
    30. repec:hal:spmain:info:hdl:2441/30j8b527qi94hpffbv52bsav72 is not listed on IDEAS
    31. Cogley, Timothy & Sargent, Thomas J., 2008. "The market price of risk and the equity premium: A legacy of the Great Depression?," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 454-476, April.
    32. Solís Arce, Julio S. & Warren, Shana S. & Meriggi, Niccolò F. & Scacco, Alexandra & McMurry, Nina & Voors, Maarten & Syunyaev, Georgiy & Malik, Amyn Abdul & Aboutajdine, Samya & Adeojo, Opeyemi & Anig, 2021. "COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27, pages 1-1.
    33. Andreas Fuster & David Laibson & Brock Mendel, 2010. "Natural Expectations and Macroeconomic Fluctuations," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 67-84, Fall.
    34. Maarten J. Voors & Eleonora E. M. Nillesen & Philip Verwimp & Erwin H. Bulte & Robert Lensink & Daan P. Van Soest, 2012. "Violent Conflict and Behavior: A Field Experiment in Burundi," American Economic Review, American Economic Association, vol. 102(2), pages 941-964, April.
    35. Carolyn Kousky, 2017. "Disasters as Learning Experiences or Disasters as Policy Opportunities? Examining Flood Insurance Purchases after Hurricanes," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 517-530, March.
    36. Katrin Schmelz, 2021. "Enforcement may crowd out voluntary support for COVID-19 policies, especially where trust in government is weak and in a liberal society," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(1), pages 2016385118-, January.
    37. Michael Callen & Mohammad Isaqzadeh & James D. Long & Charles Sprenger, 2014. "Violence and Risk Preference: Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 104(1), pages 123-148, January.
    38. Donaldson, Gordon, 1990. "Voluntary restructuring : The case of General Mills," Journal of Financial Economics, Elsevier, vol. 27(1), pages 117-141, September.
    39. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    40. Katrin Schmelz & Samuel Bowles, 2022. "Opposition to voluntary and mandated COVID-19 vaccination as a dynamic process: Evidence and policy implications of changing beliefs," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(13), pages 2118721119-, March.
    41. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    42. Lokshin,Michael M. & Kolchin,Vladimir & Ravallion,Martin, 2020. "Scarred but Wiser : World War 2's COVID Legacy," Policy Research Working Paper Series 9481, The World Bank.
    43. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    44. Ulrike Malmendier, 2021. "Experience Effects in Finance: Foundations, Applications, and Future Directions," NBER Working Papers 29074, National Bureau of Economic Research, Inc.
    45. Marc Hetherington & Elizabeth Suhay, 2011. "Authoritarianism, Threat, and Americans’ Support for the War on Terror," American Journal of Political Science, John Wiley & Sons, vol. 55(3), pages 546-560, July.
    46. Gründler, Klaus & Krieger, Tommy, 2022. "Should we care (more) about data aggregation?," European Economic Review, Elsevier, vol. 142(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Klaus Gründler & Armin Hackenberger & Anina Harter & Niklas Potrafke, 2021. "Covid-19 Vaccination: The Role of Crisis Experience," CESifo Working Paper Series 9096, CESifo.
    2. Giuliano, Paola & Spilimbergo, Antonio, 2024. "Aggregate Shocks and the Formation of Preferences and Beliefs," IZA Discussion Papers 17110, Institute of Labor Economics (IZA).
    3. Abatayo, Anna Lou & Lynham, John, 2020. "Risk preferences after a typhoon: An artefactual field experiment with fishers in the Philippines," Journal of Economic Psychology, Elsevier, vol. 79(C).
    4. Magnusson, Leandro M. & Roth, Sebastian, 2024. "Trust, risk, and gender: Evidence from the Black Saturday Fires in Victoria, Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 21-39.
    5. Freudenreich, Hanna & Musshoff, Oliver, 2022. "Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico," Ecological Economics, Elsevier, vol. 195(C).
    6. Alessandro Bucciol & Alessio Hu & Luca Zarri, 2017. "The Effects of Prior Shocks on Managerial Risk Taking: Evidence from Italian Professional Soccer," Working Papers 17/2017, University of Verona, Department of Economics.
    7. Brown, Philip & Daigneault, Adam J. & Tjernström, Emilia & Zou, Wenbo, 2018. "Natural disasters, social protection, and risk perceptions," World Development, Elsevier, vol. 104(C), pages 310-325.
    8. Li, Jie & An, Yahui & Wang, Lidan & Zhang, Yongjie, 2022. "Combating the COVID-19 pandemic: The role of disaster experience," Research in International Business and Finance, Elsevier, vol. 60(C).
    9. Goytom Abraha Kahsay & Daniel Osberghaus, 2018. "Storm Damage and Risk Preferences: Panel Evidence from Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 301-318, September.
    10. Marino Fages, Diego & Morales Cerda, Matías, 2022. "Migration and social preferences," Economics Letters, Elsevier, vol. 218(C).
    11. Ella Sargsyan, 2022. "Violent Conflicts and Child Gender Preferences of Parents: Evidence from Nigeria," CERGE-EI Working Papers wp723, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. Jin, Miao & Liu, Yu-Jane & Meng, Juanjuan, 2019. "Fat-finger event and risk-taking behavior," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 126-143.
    13. Haile, Kaleab K. & Nillesen, Eleonora & Tirivayi, Nyasha, 2020. "Impact of formal climate risk transfer mechanisms on risk-aversion: Empirical evidence from rural Ethiopia," World Development, Elsevier, vol. 130(C).
    14. Jetter, Michael & Magnusson, Leandro M. & Roth, Sebastian, 2020. "Becoming sensitive: Males’ risk and time preferences after the 2008 financial crisis," European Economic Review, Elsevier, vol. 128(C).
    15. Muhammad Nasir & Marc Rockmore & Chih Ming Tan, 2015. "It's No Spring Break in Cancun: The Effects of Exposure to Violence on Risk Preferences, Pro-Social Behavior, and Mental Health," Working Paper series 15-40, Rimini Centre for Economic Analysis.
    16. Magontier, Pierre, 2020. "Does media coverage affect governments' preparation for natural disasters?," MPRA Paper 101291, University Library of Munich, Germany.
    17. Shouyu Yao & Zhuoqun Wang & Mengyue Sun & Jing Liao & Feiyang Cheng, 2020. "Top executives’ early‐life experience and financial disclosure quality: impact from the Great Chinese Famine," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(5), pages 4757-4793, December.
    18. Luo, Deming & Yao, Zhongwei & Zhu, Yanjian, 2022. "Bubble-crash experience and investment styles of mutual fund managers," Journal of Corporate Finance, Elsevier, vol. 76(C).
    19. Booth, Alison & Meng, Xin & Fan, Elliott & Zhang, Dandan, 2018. "The Intergenerational Behavioural Consequences of a Socio-Political Upheaval," CEPR Discussion Papers 13354, C.E.P.R. Discussion Papers.
    20. Bucciol, Alessandro & Hu, Alessio & Zarri, Luca, 2019. "The effects of prior outcomes on managerial risk taking: Evidence from Italian professional soccer," Journal of Economic Psychology, Elsevier, vol. 75(PB).

    More about this item

    Keywords

    Covid-19 vaccination; vaccination preferences; crisis experience; experience effects; survey data; geocoded data;
    All these keywords.

    JEL classification:

    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_10348. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.