STATISTICAL MODELING OF MAIN INFLATION DRIVERS DURING THE POST-PANDEMIC PERIOD: THE CASE OF LITHUANIA
RIČARDAS MILERIS
https://doi.org/10.53465/ER.2644-7185.2024.3.150-175
Abstract: The main inflation factors were analyzed of relatively high inflation in Lithuania after the COVID-19 pandemic in the context of European Union and euro area. The system dynamics model was developed mathematically describing the interrelations between inflation and the set of macroeconomic variables. The hypothetical reduced inflation rates were calculated modeling the different scenarios of macroeconomic changes under the inflationary environment.
Keywords: inflation, macroeconomics, statistical modeling
JEL Classification: C02, C15, C54, E27, E31
Fulltext: PDF
Online publication date: 25 September 2024
To cite this article (APA style):
Mileris, R. (2024). Statistical Modeling of Main Inflation Drivers During the Post-Pandemic Period: The Case of Lithuania. Economic Review, 53(3), 150 ─ 175.
https://doi.org/10.53465/ER.2644-7185.2024.3.150-175
Publisher: University of Economics in Bratislava
ISSN 2644-7185 (online)
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.