Artikel

Measuring the effects of inflation and inflation uncertainty on output growth in the Central and Eastern European Countries

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.

Sprache
Englisch

Erschienen in
Journal: Baltic Journal of Economics ; ISSN: 2334-4385 ; Volume: 20 ; Year: 2020 ; Issue: 2 ; Pages: 218-242 ; London: Taylor & Francis

Klassifikation
Wirtschaft
Bayesian Analysis: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Macroeconomics: Production
Price Level; Inflation; Deflation
Thema
Bayesian quantile regression
GARCH
GDP growth
Inflation
inflation uncertainty

Ereignis
Geistige Schöpfung
(wer)
Živkov, Dejan
Kovačević, Jelena
Papić-Blagojević, Nataša
Ereignis
Veröffentlichung
(wer)
Taylor & Francis
(wo)
London
(wann)
2020

DOI
doi:10.1080/1406099X.2020.1846877
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Živkov, Dejan
  • Kovačević, Jelena
  • Papić-Blagojević, Nataša
  • Taylor & Francis

Entstanden

  • 2020

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