Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1133
Title: Oil Prices and Economic Activity in Brics and G7 Countries
Authors: Kılıç, Erdem
Çankaya, Serkan
Keywords: Oil price shocks
Structural vectorautoregression model (svar)
Markov switching model (ms var)
Macroeconomic fluctuations
Publisher: Springer
Source: Kilic, E., & Cankaya, S. (August 29, 2019). Oil prices and economic activity in BRICS and G7 countries. Central European Journal of Operations Research. 1-28.
Abstract: The effect of oil prices on countries’ economic activity has been the center of attention for decades. The empirical link between oil prices and economic activity has been steadily investigated during this time period but the measured outcomes have revealed mixed results and been inconsistent. This study examines the effect of oil prices on economic activity for Brazil, Russia, India, China, and South Africa (BRICS) and Group of Seven (G7) countries in both short-run and long-run relationships by estimating a maximum likelihood structural vector autoregression model. The model shows that a positive shock to oil prices tends to affect the monetary aggregate in Brazil, Canada, France, Germany, and Russia. The effect on interest rate spread is most significant in India and Russia. Impulse response functions display almost no effect on the gross domestic product in the US and China. A positive response on the consumer price index is observed mostly for developed countries. The response of real exchange rate reveals a positive effect on all countries in varying degrees, with the exception of the US and South Africa. Finally, Granger causality tests were conducted with proper allowance for the non-stationarity of the data. The findings illustrate that the Russian economy is among the economies that are most significantly affected by oil price fluctuations for almost all the selected variables. The models also reveal that the effect of oil price shocks on the US’s and China’s economic activities is only limited to the effect on real exchange rates. Other variables show no or limited reactions to oil prices. We also used the Markov switching maximum likelihood vector autoregression models, which reveals similar results.
URI: https://doi.org/10.1007/s10100-019-00647-8
https://hdl.handle.net/20.500.11779/1133
ISSN: 1435-246X
1613-9178
Appears in Collections:Ekonomi Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
kilic2019.pdf
  Until 2030-09-16
Yayıncı Sürümü - Makale933.62 kBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

SCOPUSTM   
Citations

15
checked on Nov 16, 2024

WEB OF SCIENCETM
Citations

13
checked on Nov 16, 2024

Page view(s)

30
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.