The nonlinear effect of oil revenue reduction on economic growth with emphasis on sanctions (Threshold VAR model approach)

Authors
abdolah afshari
Teimour Mohammadi
Farhad Ghaffari
Abstract
This research investigated the effects of oil revenue decreases as a non-linear model based on Threshold Vector auto-regression(TVAR), with an emphasis on Iran’s sanctions during the period of 2003–2021 with seasonal data. Real oil revenue growth was selected as a threshold variable; during the two regimes, the threshold was selected as -0. 021 for oil revenues, and by the generalized impulse response functions(GIRF), the effects of oil revenue increases on economic growth were investigated. Results revealed that shocks of oil revenue in upward and downward regimes had different effects on economic growth rates. The effects of shocks of oil revenue on economic growth in a downward regime were positive until the second period, and after that, they decreased, and after the sixth period, the economic growth was negative. And in the upward regime, it was positive, and after the first period, it decreased at a lower rate than in the downward regime and finally tended to zero. Finally, it can be concluded that the effects of oil revenue decreases on economic growth rate were more in the downward regime than upward, revealing that sanctions and decreases of oil revenue have a great impact on reductions of production and economic growth. Therefore, it is recommended that the government, by implementing true politics and economic programs in line with the reduction of sanctions, reduce the sanctions' effects on production and economic growth.
Keywords
Oil Revenues
Economic Growth
Nonlinear Threshold Vector Auto-regression Model (TVAR)
Hodrick Prescott filter
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