DSGE

COVID affects various sectors of the economy, including energy. Measuring these effects on the energy sector can help policymakers adopt appropriate protectionist policies. In this paper, the effect of COVID shock on energy and non-energy sectors has been investigated using the DSGE model. For this purpose, two shocks of preferences and shocks of labor supply have been used. This article adds COVID to the model as well as adding energy to the New Keynesian model. The effect of COVID on the energy and non-energy sectors of the two channels of labor supply and consumer preferences has been investigated. The results of the study indicate that consumption, investment, and production in the energy sector have increased under the influence of both shocks. But consumption, investment and production in non-energy sector have declined. Prices and production costs have increased in both sectors. Also, the negative effects of the preferences shock were greater than the negative effects of the labor supply shock.

The recent global financial crisis once again revealed the harmful effects of interest-based contracts in the conventional financial system. Islamic finance, as an alternative financial system, discourages interest rate and debt financing. This paper investigates the effects of two financial systems, namely the conventional and Islamic systems, on macroeconomic variables. To achieve this goal, a DSGE Model with two monetary rules, one for conventional financial system and the other for Islamic financial system, has been designed. Comparing the dynamics of the models, the results of this study show that, in response to different shocks, investment and output in Islamic finance are less volatile than those of conventional financial system. Moreover, the process of adjustment in Islamic system is faster than that of the conventional system. These results imply that promoting Islamic finance has a great role in macroeconomic stability and covering the effect of financial crises.

This study aims to evaluate the effect of sentiments on Iran's economy through a New Keynesian Dynamic Stochastic General Equilibrium model in a closed economy. In this study, the coefficients of the proposed model are calibrated and estimated using the quarterly data of Iran's economy from 2004 to 2015. It shows that in the presence of sentiment, how stochastic impulses affect the main macroeconomic variables. Also, for more adaptation of the model to the real world, and considering the importance and role of stickiness the effect of nominal variables on production (price stickiness) is introduced to the model. In this model, the response of macroeconomic variables to exogenous shocks of idiosyncratic demand, idiosyncratic noise, monetary policy, oil revenues, government expenditures, target inflation, and technology has been evaluated. The results obtained from the review of the impulse response functions indicate that with the occurrence of idiosyncratic demand shocks and idiosyncratic noise shocks, fluctuations in the level of macro variables do not differ in terms of the sign of the initial effect. Idiosyncratic demand and noise shocks impact on output, investment, employment, and consumption has a primary positive effect; it just has negative effects on inflation; they are different in the amount of variations; so that in the case of idiosyncratic noise shock, the initial change after the shock is much higher.

The recent housing market experience has led many to concern that the developments in the housing sector are not just a passive reflection of macroeconomic activities but instead might be one of the driving forces of them. In this context, it is crucial to understand the nature of the economy by considering the housing market and build a suitable monetary policy. In this paper, using Bayesian methods, we develop and estimate a DSGE model for Iran from 1988q1 to 2017q4, which explicitly models the housing in the banks’ portfolio to study the macroeconomic effects of monetary authority’s reaction to the housing price inflation. Our findings indicate that this reaction amplifies all the implications of the structural shocks.

Resource-rich developing countries are forced by economic fluctuations due to international commodity price movement. One way to reduce the volatility adverse effects is to establish institutions such as Sovereign Wealth Fund. However, the way this fund is managed is important. Iran, as a resource-rich developing country, suffers from economic fluctuations. In order to manage resource revenues, National Development Fund (NDF) has been established. In this paper, using DSGE model, we examined different scenarios for managing fund resources. A scenario, without any stabilizer Fund and two different scenario for National Development Fund. In the second scenario, NDF has a role like the one in Sixth Development Plan. In the third scenario, all oil revenues are deposited to NDF and a part of the fund as much as interest rate in the OECD countries plus 70% of long run oil revenues invested in the economy. The Results indicated that the management of oil revenues by the Fund, in which the inflow of oil revenues into the economy follows the commitment, is an appropriate policy to reduce the economic fluctuations in Iran.

In recent decades, many countries have improved systematic control over monetary policy and stabilized inflation at moderate levels. There is a great literature on how to conduct a monetary policy. A lot of macroeconomists (for example Taylor, McCallum, Woodford and others) proposed specific monetary policy strategies, regimes and rules. This paper considers a dynamic stochastic general equilibrium (DSGE), and two basic factors have been applied. The first one is a belief that monetary policy has impact on real economic activity in the short run. This effect comes from the presence of rigidities, which give rise to non-neutral effects of a monetary policy. The second factor is a considerable improvement under theoretical frameworks used for monetary policy analysis. The research also presents a sensitivity analysis of the optimal rules to deep structural parameters and investigate properties of an optimal simple rule with respect to prevailing type of shocks. Finally, the study highlights how an optimal policy rule depends on model structure, on the model calibration and nominal rigidities. According to the research findings, based on the theoretical expectations, the effect of a positive shock inflicted on the government investment leads to increase and gradual accumulation of fixed capital formation in the public sector. Among estimated parameters consumption is first affected and reduces, then employment increases consequently, finally production will also be affected. Also with the shock of oil revenues, increased oil revenues results in public investment at first, because the increase in oil revenues, the government increases development expenditure. Though increase in development expenditure is more than Increase in current expenditure. Enhancing development expenditure & construction spending causes total spending increase and as a result of increased production of oil income, consumption and total investment will rise. This increase leads to inflation too. Though by increasing the inflation resulted from oil revenues, the monetary authority will react through reducing the growth rate of the monetary base.