Document Type : Research Paper


1 Faculty of Economics, Payam-e-Noor University, Iran

2 Faculty of Economics, Allame Tabatabai University, Tehran, Iran

3 Faculty of Economics, Tehran University, Tehran, Iran



This paper primarily focuses on the global macroeconomic consequence, which are the result of country-specific oil supply shocks using the GVAR-Oil model estimated for 27 countries/regions over the 1979Q2-2019Q4 period. Not only does this approach include how shocks affect directly exposed countries but it also indicates the indirect results of shocks thanks to secondary or tertiary channels. Given the importance of Saudi Arabia and Iran in the world’s oil supply, adopting this model facilitates the way in which oil supply shocks are examined in the country-specific context. Therefore, the results indicate different disruptions depending on which country is subject to the shock. In fact, this study shows that a negative shock to oil supply in Iran has relatively insignificant effects on the global economy compared with those of Saudi Arabia since it can be neutralized by the increase in Saudi Arabia oil production. A negative shock to the oil supply in Saudi Arabia, however, results in an increase in oil prices, which adversely affects GDP and financial market in general. In addition, this approach provides policymakers with more opportunities to cope with consequences, which are the result of Covid-19, sanctions, and war, for instance, in a wider range of countries as representatives of the global economy, and thus help them to make better strategic decisions.


Main Subjects

Article Title [Persian]

تأثیر شوک عرضه نفت بر اقتصاد جهانی: دو غول نفتی اوپک

Authors [Persian]

  • الهام غلامپور 1
  • تیمور محمدی 2
  • اصغر ابوالحسنی هستیانی 1
  • محسن مهرآرا 3

1 دانشکده اقتصاد، دانشگاه پیام نور، ایران

2 دانشکده اقتصاد، دانشگاه علامه طباطبایی ، تهران، ایران.

3 دانشکده اقتصاد، دانشگاه تهران، تهران، ایران

Abstract [Persian]

رابطه بین درآمد نفتی، نرخ ارز و M2 بر شاخص‌های قیمت مصرف‌کننده و شاخص مصرف‌کننده، طی سال‌های 2005:1-2022:1، در ایران با استفاده از روش QARDL بررسی شد. نتایج نشان داد که در کوتاه‌مدت تمامی متغیرها تأثیر نامتقارن بر CPI و PPI داشتند. درآمدهای نفتی در بلندمدت از چندک 5/. تا میانه، تأثیر متغیر بر تورم افزایش یافته و سپس تأثیر آن کاهش می‌یابد. همچنین در بلندمدت اثر افزایش بر PPI بیشتر از شاخص قیمت مصرف کننده است. در بلندمدت، اثر نرخ ارز بر شاخص‌های قیمت مصرف‌کننده و PPI، در عین متقارن بودن، غیرخطی بود. زیرا از چندک 0.2 تا 0.8 اثر آن به نسبت افزایش و سپس کاهش یافت. همچنین در مورد M2، نتایج نشان داد که این متغیر بر CPI و PPI در کوتاه مدت اثر نامتقارن دارد. به این ترتیب که از چندک میانی تا چندک 9/. اثر آن مثبت و معنادار بود و در بلندمدت نیز نتایج حاکی از تأثیر مثبت آن بر تورم در تمامی چندک‌ها بود. اگرچه، اثر آن بر PPI نامتقارن بود.

Keywords [Persian]

  • اقتصاد جهانی: بازار تجاری: وار جهانی
Andrews, D. W., & Ploberger, W. (1994). Optimal tests when a nuisance
parameter is present only under the alternative. Econometrica: Journal of the
Econometric Society, 1383-1414.
Arthur, W. (1998). Amundsen, ES and R. Schob.(1999).“Environmental taxes on
exhaustible resources.” European Journal of Political Economy, 15, 311–29.
Antweiler, W. and D. Trefler.(2002).“Increasing returns and all that: a view
from trade.” The American Economic Review, 92 (1), 93–119. Arkolakis,
C., A. Costinot, and A. Rodriguez-Clare.(2012).“New trade. Journal of
Environmental Economics and Management, 23, 289-300.
Baumeister, C., & Peersman, G. (2013a). The role of time‐varying price
elasticities in accounting for volatility changes in the crude oil market.
Journal of applied Econometrics, 28(7), 1087-1109.
Baumeister, C., & Peersman, G. (2013b). Time-varying effects of oil supply
shocks on the US economy. American Economic Journal: Macroeconomics,
5(4), 1-28.
Cashin, M. P., Mohaddes, M. K., & Raissi, M. M. (2015). Fair weather or foul?
The macroeconomic effects of El Niño: International Monetary Fund.
Gholampour et al., Iranian Journal of Economic Studies, 11(1) 2022, 191-221 211
Cashin, P., Mohaddes, K., Raissi, M., & Raissi, M. (2014). The differential effects
of oil demand and supply shocks on the global economy. Energy Economics,
44, 113-134.
Chudik, A., & Fidora, M. (2012). How the global perspective can help us identify
structural shocks. Staff Papers(Dec).
Chudik, A., & Pesaran, M. H. (2016). Theory and practice of GVAR modelling.
Journal of Economic Surveys, 30(1), 165-197.
Dees, S., Mauro, F. d., Pesaran, M. H., & Smith, L. V. (2007). Exploring the
international linkages of the euro area: a global VAR analysis. Journal of
applied Econometrics, 22(1), 1-38.
Esfahani, H. S., Mohaddes, K., & Pesaran, M. H. (2014). An empirical growth
model for major oil exporters. Journal of applied Econometrics, 29(1), 1-21.
Gately, D., & Huntington, H. G. (2002). The asymmetric effects of changes in
price and income on energy and oil demand. The Energy Journal, 23(1).
Hamilton, J. D. (2009). Causes and Consequences of the Oil Shock of 2007-08.
Retrieved from
Hansen, B. E. (1992a). Efficient estimation and testing of cointegrating vectors in
the presence of deterministic trends. Journal of Econometrics, 53(1-3), 87-
Hansen, B. E. (1992b). The likelihood ratio test under nonstandard conditions:
testing the Markov switching model of GNP. Journal of applied
Econometrics, 7(S1), S61-S82.
Harbo, I., Johansen, S., Nielsen, B., & Rahbek, A. (1998). Asymptotic inference
on cointegrating rank in partial systems. Journal of Business & Economic
Statistics, 16(4), 388-399.
Hashem, P. M., Til, S., & Scott, W. Modelling Regional Interdependencies using
a Global Error-Correcting Macroeconometric Model. Retrieved from
Jarrett, U., Mohaddes, K., & Mohtadi, H. (2019). Oil price volatility, financial
institutions and economic growth. Energy policy, 126, 131-144.
Johansen, S. (1992). Cointegration in partial systems and the efficiency of singleequation analysis. Journal of Econometrics, 52(3), 389-402.
Kilian, L. (2008). A comparison of the effects of exogenous oil supply shocks on
output and inflation in the G7 countries. Journal of the European Economic
Association, 6(1), 78-121.
Kilian, L. (2009). Not all oil price shocks are alike: Disentangling demand and
supply shocks in the crude oil market. American Economic Review, 99(3),
Kilian, L., & Murphy, D. P. (2012). Why agnostic sign restrictions are not enough:
understanding the dynamics of oil market VAR models. Journal of the
European Economic Association, 10(5), 1166-1188.
Kilian, L., & Murphy, D. P. (2014). The role of inventories and speculative
trading in the global market for crude oil. Journal of applied Econometrics,
29(3), 454-478.
212 Gholampour et al., Iranian Journal of Economic Studies, 11(1) 2022, 191-221
MacKinnon, J. G. (1991). Critical values for cointegration tests. Paper presented
at the Eds.), Long-Run Economic Relationship: Readings in Cointegration.
Mohaddes, K., & Pesaran, M. H. (2013). One hundred years of oil income and the
Iranian economy: a curse or a blessing?
Mohaddes, K., & Pesaran, M. H. (2016). Country-specific oil supply shocks and
the global economy: A counterfactual analysis. Energy Economics, 59, 382-
Mohaddes, K., & Raissi, M. (2019). The US oil supply revolution and the global
economy. Empirical Economics, 57(5), 1515-1546.
Mohaddes, K., & Raissi, M. (2020). Compilation, Revision and Updating of the
Global VAR (GVAR) Database, 1979Q2-2019Q4.
Nyblom, J. (1989). Testing for the constancy of parameters over time. Journal of
the American statistical Association, 84(405), 223-230.
Park, H. J., & Fuller, W. A. (1995). Alternative estimators and unit root tests for
the autoregressive process. Journal of Time Series Analysis, 16(4), 415-429.
Peersman, G., & Van Robays, I. (2012). Cross-country differences in the effects
of oil shocks. Energy Economics, 34(5), 1532-1547.
Pesaran, M. H., Shin, Y., & Smith, R. J. (2000). Structural analysis of vector error
correction models with exogenous I (1) variables. Journal of Econometrics,
97(2), 293-343.
Ploberger, W., & Krämer, W. (1992). The CUSUM test with OLS residuals.
Econometrica: Journal of the Econometric Society, 271-285.
Quandt, R. E. (1960). Tests of the hypothesis that a linear regression system obeys
two separate regimes. Journal of the American statistical Association,
55(290), 324-330.
Rey, H. (2015). Dilemma not trilemma: the global financial cycle and monetary
policy independence. Retrieved from
Salehi Esfahani, H., Mohaddes, K., & Pesaran, M. H. (2014). An empirical growth
model for major oil exporters. Journal of applied Econometrics, 29(1), 1-21.
Smith, L., & Galesi, A. (2014). GVAR Toolbox 2.0. University of Cambridge:
Judge Business School.