Showing 4 results for Dynamic Stochastic General Equilibrium Model
Seyed Fakhroddin Fakhrehoseini,
Volume 2, Issue 3 (3-2011)
Abstract
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.
Dr Javid Bahrami, Parvaneh Aslani,
Volume 2, Issue 4 (6-2011)
Abstract
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.
Bahram Sahabi, Hossein Asgharpur, Saeed Qorbani,
Volume 8, Issue 29 (10-2017)
Abstract
In this study, using Dynamic Stochastic General Equilibrium Model (DSGE model) the hypothesis of asymmetry of monetary shocks in the Iranian business cycle during the period of 1979-2012 is tested on macroeconomic variables. The designed model broadens the analytical framework of dynamic equilibrium models with respect to the economic characteristics of an oil-exporting country. To extract business cycles, the Hodrick-Prescott filtering process has been used. The results of the research indicate that the effects of positive and negative monetary shocks during ascendancy and economic prosperity are asymmetric, so that the effect of positive shock during the recession period in the Iranian economy during the studied period was stronger than the negative shock level. On the other hand, the results show that the effect of positive shocks during the boom period in the Iranian economy on the price level changes its size in proportion to the size of the shock; however, the effect of negative shocks during the boom on the level of prices initially reduced inflation and then after a short time Inflation increases again. Therefore, it can be stated that in the economy of Iran both inflation and economic boom will increase. In the case of production and investment, this asymmetry is in a way that results in a broader expansionary policy in a recession and, in economic prosperity, the optimal political policy is contractionary.
Hadi Keshavarz,
Volume 10, Issue 35 (3-2019)
Abstract
The labor market, as one of the four markets, plays an important role in economic growth and development. So review developments in the labor market because of its close relationship with developments in other sectors is of great importance. This study tries to examine the dynamics of the labor market by adjusting for a New Keynesian dynamic stochastic general equilibrium model for the Iranian economy. After the model was solved, the obtained equations were linearized and their parameters were estimated using the economic data of Iran (2005-2017) by the Bayesian method. Comparing the model's moments with the economic momentum indicates the success of the model in real-world simulation (production, consumption, investment, unemployment, and participation rate). Impulse Response Functions Survey shows that participation rates are consistent with cyclic behavior. On the other hand, in response to shocks (monetary, oil revenues, government expenditures, and public sector employment), increased employment, but the unemployment rate has changed slightly due to the change in the participation rate and the change in the size of the active population, which represents the sustainability of the unemployment rate.
