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How the Czech government got the pandemic wrong

Author

Listed:
  • Bo?ena Kade?ábková

    (University of Economics, Prague)

  • Emilie Ja?ová

    (Faculty of Social Sciences, Charles University in Prague)

Abstract

The aim of the article is to prove by econometric analysis the suitability of NAIRU and NARRU concepts to assess the adequacy of measures against Covid 19 to address the epidemiological and economic situation in the Czech Republic. The analysis confirmed that in the Czech Republic the economy was reduced together with the escalation of the epidemic. The same development was found in the period March, April, October, November and December 2020 and February 2021. The government was therefore to take the path of greater prevention of the disease (eg timely adequate respirators, tests and vaccines). On the contrary, in January, February, May, June, July, August and September 2020 and January 2021, a lower value of NAIRU indicates an epidemiological-economic balance in the economy even with a higher unemployment rate. This is a consequence of the hasty tightening of anti-epidemiological restrictions.

Suggested Citation

  • Bo?ena Kade?ábková & Emilie Ja?ová, 2021. "How the Czech government got the pandemic wrong," Proceedings of Economics and Finance Conferences 12513377, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iefpro:12513377
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Phillip´s curve; NAIRU; NARRU; phases of the economic cycle; unemployment;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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