Živkov, Dejan Kovačević, Jelena Papić-Blagojević, Nataša
Year of Publication:
[Journal:] Baltic Journal of Economics [ISSN:] 2334-4385 [Volume:] 20 [Issue:] 2 [Publisher:] Taylor & Francis [Place:] London [Year:] 2020 [Pages:] 218-242
Taylor & Francis, London
This paper investigates how inflation and its uncertainty impact GDP growth in eight Central and Eastern European Countries. Inflation uncertainty series are created examining several GARCH models in combination with three different distribution functions, while the nonlinear effect of inflation and its uncertainty on GDP growth is assessed in the Bayesian quantile regression framework. We find that inflation has significantly smaller negative effect on GDP growth than inflation uncertainty, which confirms the Friedman hypothesis. This means that inflation in the selected countries has an indirect impact on GDP growth via inflation uncertainty. We find that countries with smaller economy, such as Latvia and Estonia experience more adverse effect from inflation uncertainty in both upturn and downturn conditions, probably because they are vulnerable to external inflationary shocks. As for the countries with bigger economy, inflation uncertainty shocks diminish GDP growth only in conditions when output growth is very low or negative.
Bayesian quantile regression GARCH GDP growth Inflation inflation uncertainty