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Várakozások és viselkedések a koronavírus-járvány idején
[Expectations and behavior during the coronavirus pandemic]

Author

Listed:
  • Bíró, Anikó
  • Branyiczki, Réka

Abstract

Tanulmányunkban az 50 év feletti európai lakosság mintáján arra a kérdésre keressük a választ, hogy a pozitív várakozások milyen összefüggésben vannak az elővigyázatos viselkedéssel. A jövőre vonatkozó várakozások befolyásolhatják, hogy mennyire fontos az egészség megőrzése, érdemes-e a jelenben erőfeszítéseket tenni bizonytalan jövőbeli pozitív hatásokért. A kérdést a koronavírus-járvány idején, 2020 és 2021 nyarán készült Survey of Health, Ageing and Retirement (SHARE) telefonos adatfelvételére támaszkodva elemezzük. A maszkviselést, a távolságtartást és az oltási hajlandóságot vizsgáljuk a jövőre vonatkozó pozitív várakozások függvényében. Eredményeink azt mutatják, hogy az ötven év feletti lakosság pozitív várakozások esetén nagyobb eséllyel tesz óvintézkedéseket a koronavírus ellen.* Journal of Economic Literature (JEL) kód: D84, I12.

Suggested Citation

  • Bíró, Anikó & Branyiczki, Réka, 2022. "Várakozások és viselkedések a koronavírus-járvány idején [Expectations and behavior during the coronavirus pandemic]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1324-1344.
    • Handle: RePEc:ksa:szemle:2084
    DOI: 10.18414/KSZ.2022.11.1324
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    References listed on IDEAS

    as
    1. Carola Binder, 2020. "Coronavirus Fears and Macroeconomic Expectations," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 721-730, October.
    2. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    3. Wilbert van der Klaauw, 2012. "On the Use of Expectations Data in Estimating Structural Dynamic Choice Models," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 521-554.
    4. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    5. Gábor Kézdi & Robert J. Willis, 2003. "Who Becomes a Stockholder? Expectations, SUbjective Uncertainty, and Asset Allocation," Working Papers wp039, University of Michigan, Michigan Retirement Research Center.
    6. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1071-1102.
    7. Michael D. Hurd & James P. Smith & Julie M. Zissimopoulos, 2004. "The effects of subjective survival on retirement and Social Security claiming," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 761-775.
    8. Michael D. Hurd, 2009. "Subjective Probabilities in Household Surveys," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 543-564, May.
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    More about this item

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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