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Analysing the Trade-GDP Nexus in Iran: A Bounds Testing Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Pahlavani, Mosayeb () (University of Wollongong )
This paper examines the major sources of economic growth in Iran using annual time series data (1960 to 2003). The time series properties of the data are analysed by Perron’s innovational outlier and additive outlier models. The empirical results based these models show that there is not enough evidence against the null hypothesis of unit root for all of the variables under investigation. Moreover, we found that the most significant structural breaks over the last four decades which have been detected endogenously in fact correspond to the regime change (e.g the 1979 Islamic revolution) and the Iraqi war in the 1980s. Finally, an ARDL methodology is employed to obtain the short and long-term determinants of economic growth. The results show that while the effects of gross capital formation and oil exports are highly significant, as expected, non-oil exports and human capital have an even smaller effect than had been anticipated.
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Paper provided by School of Economics, University of Wollongong, NSW, Australia in its series Economics Working Papers with number
wp05-25.
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Length: 15 pages
Date of creation: 2005Date of revision:
Handle: RePEc:uow:depec1:wp05-25Contact details of provider: Postal: School of Economics, University of Wollongong, Northfields Avenue, Wollongong NSW 2522 Australia Phone: +612 4221-3663 Fax: +612 4221-3725 Web page: http://www.uow.edu.au/commerce/econ/ More information through EDIRC
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Keywords: structural break ; unit root tests ; ARDL method ; Iranian economy ; Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
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