Forecasting of macroeconomic stability post-pandemic recovery: The case of European countries DOI Creative Commons
Aleksandra Kuzior, Alina Vysochyna,

Włodzimierz Augustyniak

et al.

JOURNAL OF INTERNATIONAL STUDIES, Journal Year: 2024, Volume and Issue: 17(4), P. 56 - 79

Published: Dec. 1, 2024

The unfolding of the COVID-19 pandemic has revealed "bottlenecks" not only in healthcare system, which was unable to cope with a significant influx patients and quickly eliminate spread coronavirus infection, but also vulnerability socioeconomic systems countries all over world. research aims determine country-specific trend patterns volatility integral level macroeconomic stability its components forecast their values for medium term dynamics post-pandemic recovery. implementation objectives involves following steps: 1) determining outliers data series that characterise context each 10 studied countries; 2) eliminating outliers; 3) highest-quality functional form dependence change corresponding individual indicator time; 4) forecasting indicators (2023-2025); 5) deviations above from pre-pandemic (2019) end-of-pandemic (2022); 6) qualitative interpretation results.

Language: Английский

Forecasting of macroeconomic stability post-pandemic recovery: The case of European countries DOI Creative Commons
Aleksandra Kuzior, Alina Vysochyna,

Włodzimierz Augustyniak

et al.

JOURNAL OF INTERNATIONAL STUDIES, Journal Year: 2024, Volume and Issue: 17(4), P. 56 - 79

Published: Dec. 1, 2024

The unfolding of the COVID-19 pandemic has revealed "bottlenecks" not only in healthcare system, which was unable to cope with a significant influx patients and quickly eliminate spread coronavirus infection, but also vulnerability socioeconomic systems countries all over world. research aims determine country-specific trend patterns volatility integral level macroeconomic stability its components forecast their values for medium term dynamics post-pandemic recovery. implementation objectives involves following steps: 1) determining outliers data series that characterise context each 10 studied countries; 2) eliminating outliers; 3) highest-quality functional form dependence change corresponding individual indicator time; 4) forecasting indicators (2023-2025); 5) deviations above from pre-pandemic (2019) end-of-pandemic (2022); 6) qualitative interpretation results.

Language: Английский

Citations

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