Hossein Akbarifard; Mohammad Ghotbadini Ghasem Abad; Farahnaz Shahryaran; Omid Jenabi
Volume 5, Issue 18 , March 2015, , Pages 94-83
Abstract
This study investigates the effect of some indicators of financial repression, including DR (the gap between the official interbank exchange rate and the free market rate), Cpi (the difference between Iran's inflation rate and the inflation rate of the world) and G (the ratio of government ...
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This study investigates the effect of some indicators of financial repression, including DR (the gap between the official interbank exchange rate and the free market rate), Cpi (the difference between Iran's inflation rate and the inflation rate of the world) and G (the ratio of government debt to liquidity), on capital stock growth in agricultural sub-sectors in Iran, during the period 1991-2011 using estimation of the demand function and panel data method. The results of the model indicate a significant negative effect of financial repression indicators on the development of the capital stock growth in all agricultural sub-sectors.
Mojtaba Kazemi; Seyed Abdolmajid Jalaee Esfand Abadi; Hossein Akbari Fard
Volume 4, Issue 15 , August 2014, , Pages 40-25
Abstract
In this paper, in order to empirically examine and predict the effect of exchange rate uncertainty on economic growth in Iran over the period 1959 to 2010, econometrics methods and artificial neural network are applied. For this purpose, at first the exchange rate uncertainty is calculated by the generalized ...
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In this paper, in order to empirically examine and predict the effect of exchange rate uncertainty on economic growth in Iran over the period 1959 to 2010, econometrics methods and artificial neural network are applied. For this purpose, at first the exchange rate uncertainty is calculated by the generalized autoregressive conditional heteroskedasticity (GARCH) method. Then the impact of exchange rate uncertainty on economic growth in Iran has been tested. For this purpose, the proper network, in according to valuation criterions like determination coefficient and mean square of error were determined. Then research hypothesis has been investigated by attention to trained artificial neural network. The results indicate that exchange rate uncertainty has had a weak negative effect on Iran economic growth in recent years. Of course, it is expected that this effect in the future to be significantly stronger.
