This paper attempts to compare a Markov-Switching Dynamic Stochastic General Equilibrium (MS-DSGE) model by including deep habits consumption to a MS-DSGE model without deep habits. It is concluded that the deep habit adjusted model with regime switching is able to fit the Iranian data better. The results of estimating parameters indicate that deep habit formation, together with the persistence of habit stock, are significant parameters. The results also confirm that current and future consumption demand, expected marginal cost and stock of habits are effective driving forces in extracted New Keynesian Philips Curve considering deep habits. However, in contrast with Ravn et al (2006, 2010) findings, it is shown that presence of deep habit consumption in the model for Iranian economy, cannot lead to reduce inflation in response to monetary shock while the amount of increase in inflation in response to monetary shock in the model with deep habit is less than inflation increase in model without deep habits. Furthermore, in response to fiscal shock in the model considering deep habits, the negative effect of wealth could not be compensated in Iranian economy. Therefore, consumption begins to decrease in response to fiscal shock, although these reduction in the model without deep habits takes more longer than in the model with deep habits.

In this paper I have been calculated the optimum rate of money growth in New Keynesian DSGE framework for Iran Economy. The presented model includes three economic agents: a government, i households and j firms. Households and firms have monopolistic power of labor and good supply, this facilitates the specification of Nominal and real rigidities and these are specified subject to Rotenberg quadratic adjustment cost function. Simulation results demonstrate that Friedman's Rule is not supported in Iran economy, and in this framework the optimum seasonal rate of inflation and money growth is %2 and %3.003 respectively.

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. Like in other New Keynesian DSGE models, firms face nominal rigidities with monopolistically competitive intermediate-good sector. 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 cause output to decrease after some periods.

This paper designed a dynamic stochastic general equilibrium (DSGE) model for studying Iranian monetary policymaking, in which a policymaker can decide between inflation and exchange rate targeting to organize a monetary policy. Central bank’s tools to achieve these two goals are the control of domestic credits and intervention in exchange market. The results of our calibration represent that, in case of oil revenue shock, inflation targeting scenario makes less movement in consumption, non-oil production, employment, inflation and money. In case of technology shock, there is no special difference between two scenarios. But, inflation targeting makes less movement in non-oil production and inflation.

This study tries to examine the way housing residential investment in Iran's urban area is influenced by the shocks of oil revenues, and for that, time series data spanning the period 1991:1-2007:4 are deployed in a Dynamic Stochastic General Equilibrium (DSGE) model including households, firms producing new residential houses, and the production of other economic firms as well as oil sector. The model is based on some simplify assumptions suitable to Iran's economy characteristics as: Iran as a small economy regarding capital flows, Oil Exports and goods imports and no price stickiness in housing sector. Moreover, the allocation of resources in the economy is determined by a central planning. The Model's solution and simulation is processed through using DYNARE as a subset of MATLAB software package. The results showed that the incidence of extreme volatility in the short behavior of housing residential investment in Iran's urban area, due to shocks of oil revenues, shocks was not Persistent and quickly disappeared. This implies that Iran's economy is suffering from Dutch Disease.

A Dynamic Stochastic General Equilibrium (DSGE) Model is developed to study monetary business cycles impacts of volatilities of oil revenue and money supply on macroeconomic variables in Iran. The results show that 0.15 percent deviation from the trend of steady state inflation is explained by changes in oil revenue when it is accompanied by change in money aggregates. However, if such changes in oil revenues are not financed by the central bank, inflation deviates only by 0.1 percent. The results reemphasize the fact that money is neutral in a non-sticky price framework and only affect output and employment by 0.05 and -0.01 percent respectively.