s
yazdan gudarzi farahani; Zoleikha Morsali Arzanagh; Mohsen Mehrara; ebrahim abbasi
Abstract
The purpose of this article is to investigate the effects of uncertainty of economic policies in business cycles on macroeconomic variables. In this study, a stochastic dynamic general equilibrium approach and statistical data for the period 1370-1401 have been used. In this study, based on the analysis ...
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The purpose of this article is to investigate the effects of uncertainty of economic policies in business cycles on macroeconomic variables. In this study, a stochastic dynamic general equilibrium approach and statistical data for the period 1370-1401 have been used. In this study, based on the analysis of the period of boom and recession, the shock from the uncertainty component of economic policy in this period was investigated on macroeconomic variables. The obtained results have shown that during the boom period, the effects of economic policy uncertainty shock on variables such as production, investment, and consumption were less than during the recession period, and during the recession period, the negative effect of this shock on the mentioned variables was more severe. In addition to this, the effect of economic policy uncertainty shock on the variables of inflation rate, interest rate and exchange rate has also been positive during economic boom and recession and has led to an increase in these nominal variables.
Economic Growth
Ali Mohammadipour; ali salmanpour znouz; Seyed Fakhreddin Fakhrhosseini
Abstract
Emphasizing on designing the four paths of oil and energy impact on the Iranian economy, a New-Keynesian comprehensive DSGE model is simulated. In the present study, shocks in the form of two important paths monetary base and government oil revenues are analyzed. Monetary impulses, in addition to inflation, ...
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Emphasizing on designing the four paths of oil and energy impact on the Iranian economy, a New-Keynesian comprehensive DSGE model is simulated. In the present study, shocks in the form of two important paths monetary base and government oil revenues are analyzed. Monetary impulses, in addition to inflation, instantly have a positive impact on nominal and real exchange rates, firms’ investment, employment, production, import of consumer and capital goods. The impulse for government oil revenues in the first period will also increase government development and current expenditure, general price level, import of capital and consumer goods, and household consumption. Then the demand side of the economy is expanded cross-sectionally and increased non-oil production at the rate of 0.8%. In contrast, with the decline in private sector investment and employment, non-oil production has fallen sharply over two periods, even falling from a stable long-term situation, which means that the Resource Curse in the Iranian economy is realizing. On the other hand, as a result of the shocks in oil revenues, the Crowding-Out Effect on the Iranian economy will be strengthened as government capital spending increases and firms' investments decrease.
International Commerce
Matin Borghei; Teymour Mohamadi
Volume 8, Issue 31 , June 2018, , Pages 45-60
Abstract
In this paper, for analysis of exchange rate pass-through (ERPT) to import prices, a structural dynamic stochastic general equilibrium model is used and exchange rate is considered as an endogenous variable not exogenous. Therefor we can calculate exchange rate pass-through conditional on each shock. ...
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In this paper, for analysis of exchange rate pass-through (ERPT) to import prices, a structural dynamic stochastic general equilibrium model is used and exchange rate is considered as an endogenous variable not exogenous. Therefor we can calculate exchange rate pass-through conditional on each shock. The advantage of this approach is that it shows to policy makers that ERPT conditional on each shock is different and policy maker should take the cause of the change, into account. Hence a dynamic stochastic general equilibrium model for Iran is presented and calibrated. Then by impulse response functions, ERPT conditional on different shocks (technology, oil revenues, foreign output, money demand, foreign interest rates and monetary policy shocks) has derived. Also, a test for the effects of the changes in variance of each shock on the degree of conditional ERPT has been performed. The standard deviations of the shocks affect the scale of the impulse-response functions, but not their shape. This means that the relative magnitude ofthese responses and conditional measures of pass-through will not be altered by changes in the variance of theshocks.
Monetary Shocks
Asghar Abolhasani; Ilnaz Ebrahimi; Mohammad Hossein Pour Kazemi; EBRAHIM BAHRAMI NIA
Volume 7, Issue 25 , November 2016, , Pages 113-132
Abstract
Prices as the most fundamental variable in the housing sector have the task of optimizing the allocation of economic resources. Statistics show that during the period under the study (1991-2011), housing sector in Iran has experienced four jumps in prices. In this paper, we build a Dynamic Stochastic ...
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Prices as the most fundamental variable in the housing sector have the task of optimizing the allocation of economic resources. Statistics show that during the period under the study (1991-2011), housing sector in Iran has experienced four jumps in prices. In this paper, we build a Dynamic Stochastic General Equilibrium (DSGE) model to study the fluctuations in prices and output of housing sector and identify the effects of monetary and oil price shocks on this fluctuations. The impulse response functions show that higher money growth rate temporary increases output and inflation in the both housing and nonhousing sectors. In addition, due to the higher elasticity of supply in the nonhousing sector, the effects of monetary shock on production in this sector are more than the housing sector. Higher oil revenues through increased liquidity and then increasing demand of private sector causes higher inflation in the economy. The results show that a shock in oil revenue temporary increases production and inflation in the housing and nonhousing sector simultanously. The difference is that the inflationary effect of this shock is higher than its effect on the production. Altogether, the comparison of the moments of the model and its impulse response functions with that of real world shows that our model can well illustrate the cyclical fluctuations of most important variables in the housing and nonhousing sectors.
