s
Mehdi Jalouli; Ahmad Sarlak; Hadi Ghafari; Mohamad Sadegh Horri
Abstract
In the present study, using a Structural macroeconometric model of econometric structure, the effects and consequences of economic instability on economic growth of major macroeconomic sectors in Iran during the period of 1976-2016 have been investigated. First, using the principal component analysis ...
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In the present study, using a Structural macroeconometric model of econometric structure, the effects and consequences of economic instability on economic growth of major macroeconomic sectors in Iran during the period of 1976-2016 have been investigated. First, using the principal component analysis method, an index for economic instability was created. In order to study the effect of this index, firstly, the data on exogenous variables were calculated using the predictive method and the ARIMA time series models, and in some cases also according to the average rate of the annual growth of that variable has been generated in several previous periods and then, with the change in each of the economic instability factors in 2018, the effect of this change on the intrinsic variables of the model (which includes the production of agricultural sectors, industries and mines, oil and gas, and services) was observed for the years 2018-2021. Any deviation in the process of moving the intrinsic variables of the pattern from the underlying trend is a result of economic instability on the variables studied. The results show that the lowest and the greatest gap (the effect of economic instability) between the underlying trend and the trend after economic instability is observed in the agricultural sector and the oil and gas sector.
Economic Growth
Yeganeh Mousavi Jahromi; Hadi Ghaffari; Mehdi Jaloli
Volume 8, Issue 31 , June 2018, , Pages 13-28
Abstract
The current study, using the VAR model, tries to explore the effects and consequences of economic instability on economic growth in Iran during the 1981-2011 periods using the principle components analysis. In this study, using the principle components analysis (PCA), an indicator of economic instability ...
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The current study, using the VAR model, tries to explore the effects and consequences of economic instability on economic growth in Iran during the 1981-2011 periods using the principle components analysis. In this study, using the principle components analysis (PCA), an indicator of economic instability was built and then the impact of this indicator on economic growth of Iran was examined. The findings show that Only the importance of labor in the Agricultural sector but in other sectors more than other variables, physical capital is the more important in explaining economic growth. In all areas of macroeconomics, variable economic instability negative impact on economic growth in the sector. Four parts macroeconomic indicator of economic instability in the analysis of variance, respectively, in the fields of Industry and Minerals, Services, Agriculture and Oil and Gas exploration is more important.
s
Sima Eskandari Sabzi; Asadolah Farzinvash; Kambiz Hojabr Kiani; Hamid Shahrestani
Volume 8, Issue 30 , April 2018, , Pages 101-116
Abstract
Economic instability affects the domestic money that economic agents are willing to hold. For example in an uncertain inflationary environment, they prefer to less demand for money and use those asset which has less risk of maintenance, such as foreign currency and foreign assets. The use of foreign ...
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Economic instability affects the domestic money that economic agents are willing to hold. For example in an uncertain inflationary environment, they prefer to less demand for money and use those asset which has less risk of maintenance, such as foreign currency and foreign assets. The use of foreign currency as a store of value is "dollarization". This study examines the impact of economic instability on the unofficial dollarization in Iran. For this purpose, we estimate the degree of dollarization by Kamin and Ericsson (2003) and El-Erian (1988) method, then obtain a composite macroeconomic instability index with the consumer price index, exchange rate, stock of international reserves, interest rate and budget deficit, then examine by using a vector auto regression model over the period of 1979 to 2014. The results indicate that economic instability affects dollarization positively. The impulse response function shows that a one-standard error shock in instability increases dollarization at first, and gradually reduced. The results of variance decomposition also show that in long term instability index can explain fluctuation of the dollarization.
