Saeedeh Hamidi Alamdari; Hamid Khaloozadeh; Mohammad Rezaei Poor
Volume 11, Issue 42 , October 2011, , Pages 115-139
Abstract
This paper deals with forecasting the tax revenues of legal entities in Iran. For this
purpose, the structural natures of time series of tax revenues for Iranian legal entities are
detected. Based on the separation among the resources (government and NGOs), the
linearity, nonlinearity, chaotic, and ...
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This paper deals with forecasting the tax revenues of legal entities in Iran. For this
purpose, the structural natures of time series of tax revenues for Iranian legal entities are
detected. Based on the separation among the resources (government and NGOs), the
linearity, nonlinearity, chaotic, and random behaviors are diagnosed via the Lyapunov
exponential analysis. Using Box- Jenkins and Neural Networks models with different
numbers of input, output, hidden layers, learning algorithm, learning rate and etc., the
performance of each model are evaluated during the years of 1381- 1387. Finally, the
optimal forecasting model is proposed as a multi input- multi output neural network
structure with a novel algorithm. The performance of the proposed structure is evaluated
during the years of 1388- 1393 in the forecasting process.
Seyyed Ebrahim Hosseyni Nasab; Majid Aghaei; Mohammad Rezaei Poor
Volume 10, Issue 36 , April 2010, , Pages 255-283
Abstract
One of the striking phenomena in recent years has been the speed of globalization. Iran has been preparing the ground for joining WTO with the purpose of boosting her non-oil exports and taking full advantage of international market opportunities. However, questions remain on which of the non-oil sectors ...
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One of the striking phenomena in recent years has been the speed of globalization. Iran has been preparing the ground for joining WTO with the purpose of boosting her non-oil exports and taking full advantage of international market opportunities. However, questions remain on which of the non-oil sectors Iranian economy can compete most effectively, once integrated into global markets. The answer to this question has a bearing on the investment and structural reforms that are needed before Iran enters the highly competitive global environment. The problem, therefore, is to study the comparative advantage of and support given to the various sectors in the Iranian economy. Since the hand made carpet industry is one of the sectors that promises a highly non-oil export potentialities, this paper concentrates on this industry and utilizes the Policy Analysis Matrix (PAM) to calculate indices of comparative advantage in the hand made carpet
industry (case study of Isfahan's hand made silk carpets). Results show that the index of the competitive ability of Isfahan's hand made silk carpets is 88% and its comparative advantage based on unit cost that would hold when Iran joins WTO is 79%. These indices indicate that Isfahan's hand made silk carpets scores high both in terms of competitive ability and comparative advantage.