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.