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This paper develops a New Keynesian dynamic stochastic general equilibrium (DSDE) model to study Iran's economy. The model considers the dependence of Iran's economy to oil exports. Oil sector and oil export revenues have been modeled as a separate sector and one of the government budget resources, respectively. In this model, like in other New Keynesian DSGE models, firms face nominal rigidities and the intermediate-good sector is monopolistically competitive. Four shocks (productivity, oil revenues, money growth rate and government expenditure) have been introduced as the sources of volatility. The findings show that business cycle moments generated by the model and those of actual statistics from the economy are closely related. The model produces more volatile private investment and less volatile private consumption than non-oil output. Impulse response functions of shocks show that non-oil output increases in response to productivity, oil revenues, money growth rate and government expenditure shocks. Although non-oil output increases in response to government expenditures shocks, crowding- out effect of these expenditures causes output to decrease after some periods.

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Fluctuations in fiscal policy affect monetary policy and the central bank, because the government’s general budget is highly dependent on oil prices and its fluctuations. Therefore, this paper designs a New Keynesian model for Iran with nominal rigidities (prices and wages) and analyzes the impact of technology, oil price, government spending and money supply shocks on macroeconomic variables (inflation, output) in economy of Iran. The data in this article are related to the fixed prices in the year 2004 and run annually from 1966 to 2008 on a per capita basis. Having logarithms taken, the variables are de-traded through Hodrick - Prescott filter. The final model equations are linearized around the steady state and using Uhlig (1999) approach, accidental equations are also linearized and are specified as space state pattern in Matlab software. Finally, the calibration of parameters are assessed, variables are simulated and compared with real data. The results show that the recommended model can simulate the impact of shocks on macroeconomic variables. It also shows that inflation rises in response to all shocks except that of technology. As the figures show, it is also revealed that non-oil output increases in response to technology, oil price, government spending and money supply.