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Showing 4 results for Oil Prices
Volume 12, Issue 4 (1-2013)
Abstract
In this paper the impacts of oil price fluctuations on the household welfare for different income groups have been studied using computational general equilibrium model. Equivalent Variation (EV) criterion is also used to evaluate changes in household welfare. The results show that oil price fluctuation has a greater impact on income, expenditure and welfare of urban households compared with the rural ones. In other words, dependence of urban household income on oil price is stronger in comparison to the rural ones. It has also been revealed that an oil price increase is more effective than the price reduction on household welfare, income and expenditure. Ratio of EV to total expenditure is almost the same for the poor and rich households, implying that both of them suffer a percentage of welfare loss in the same way.
Volume 19, Issue 6 (11-2017)
Abstract
This study aimed to develop a multi-sector Dynamic Stochastic General Equilibrium (Large DSGE) model for Iran’s economy. In this model, economy was divided into three sectors: Agriculture, non-agriculture, and oil. Imports and exports were also included in the model. In order to adapt the model with Iran’s economic conditions, price stickiness in agriculture and non-agriculture were included. Then, the impact of rising oil prices on agricultural sector was examined. To calculate the required coefficients, 1971-2012 data was gathered and Bayesian method was used. The results showed the negative impacts of rising oil prices on agriculture as well as the negative effects of Dutch Disease.
Volume 21, Issue 1 (3-2021)
Abstract
Oil price shocks have an undesirable effect on financial stability and banking systems, in addition to creating uncertainty and negative effects on the macroeconomic performance of oil-exporting countries. In fact, the dependency of government spending policies on oil price movements in oil exporting countries creates feedback loops between asset prices and bank credits that could lead to an increase in vulnerability of the financial sector. Therefore, considering the importance of the issue, this study aims to investigate the asymmetric effects of oil prices on non-performing loans (NPLs), as credit risk criteria, by applying data from 18 selected banks in Iran during 2006-2017. In this regard, the relationship between variables has been estimated using Panel Nonlinear Autoregressive Distributed Lag (PANEL NARDL). The predictability of symmetric and asymmetric PANEL ARDL models is assessed by applying RMSE and Campbell and Thompson (2008) tests. The results show that the asymmetric model has better performance and efficiency than the symmetric model. These asymmetric effects are significant in both short-term and long-term. Based on the results, the impact of oil price on the NPLs of some banks is positive and in the others is negative and significant.
Sajjad Faraji Dizaji, Ebrahim Hosseini Nasab, Peter A.g. van Bergeijk, Abbas Assari,
Volume 21, Issue 3 (7-2014)
Abstract
This paper investigates the short- run and long-run effects of government size and exports on the economic growth of Iran as a developing oil export based economy for the period of 1974 - 2008 using an autoregressive distributed lags (ARDL) framework. A modified form of Feder (1982) and subsequently Ram’s (1986) model has been applied to include both government size and exports in growth equation. The findings show that in long run and short run the Armey curve (1995) is valid, indicating that both a very big size and a too small size of government are harmful for growth and government should adjust its size. The results also show that total exports, the amount of oil exports in terms of barrels and oil prices affect economic growth positively and significantly both in short-run and long-run. However, non-oil exports do not have a significant effect on growth in the long run
