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Asymmetric and Time‐Varying Causality between Inflation and Inflation Uncertainty in G‐7 Countries

Bibliographic Data

ID10493125
AuthorsMehmet Balcilar (Eastern Mediterranean University), Mehmet Balcılar (0000-0001-9694-5196, Eastern Mediterranean University, corresponding author), Zeynel Abidin Özdemir (0000-0001-8600-0463, Gazi University)
Year2013
Volume60
Issue1
Pages1-42
Publication date2013-01-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScottish Journal of Political Economy (JOURNAL)
Journal identifiersISSN: 0036-9292 • E-ISSN: 1467-9485
PublisherWiley (PUBLISHER • GB)
DOI10.1111/sjpe.12000
OpenAlexW2048943095
LanguageEN
Citations received3
References cited71

We use G ranger causality tests within a conditional G aussian M arkov switching vector autoregressive ( MS ‐ VAR ) model using monthly data for G ‐7 countries covering the period 1959:12–2008:10 to examine the relationship between inflation and inflation‐uncertainty. The MS ‐ VAR model allows us to model parameter time‐variation so as to reflect changes in Granger causality, assuming that these changes are stochastic and governed by an unobservable M arkov chain. Inflation uncertainty is measured as the conditional variance generated by a Fractionally Integrated Smooth Transition Autoregressive Moving Average‐Asymmetric Power ARCH ( FISTARMA ‐ APARCH ) model. The distinguishing feature of our approach from the previous studies is the determination of the sign of the G ranger causality relationship between inflation and its uncertainty over time. First, using a rolling VAR model, we show that the relationship between inflation and inflation uncertainty is time varying with frequent breaks. Second, using the MS ‐ VAR model, we obtain strong evidence in favour of the H olland's ‘stabilizing Fed hypothesis’ for C anada, F rance, G ermany, J apan, U nited K ingdom, and the U nited S tates. We also find evidence in favour of the F riedman hypothesis for C anada and the U nited S tates

Autoregressive conditional heteroskedasticity · Autoregressive model · Causality (physics · Conditional variance · Econometrics · Economics · Granger causality · Inflation (cosmology · Physics · Sign (mathematics · Unobservable · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact

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Unique citing works3
Citations per year0.27
Citation span2015 - 2020 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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