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The purpose of this article is to study the factor content of trade in Iran. To improve the trade affair, Iran needs a suitable model for production, export and import of required goods. Factor content of trade detects and amplifies it to pay. In this paper using (HOV) model and input-output (IO) we evaluate factor content of trade in different sectors in 1991-2001. The results show that Factor content of trade in 67 percent of the activities (28 sections) has been negative and 33 percent of the activities (13 sections) are positive

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With regard to importance of investment as an engine of economic growth many economists such as Wicksel, Keynse and Harrod believe that investment is the main source of business cycles. Hence this study specifies investment function according to a basic macroeconomic model such as Ramsey model. Application of Ramsey model can help to extend macroeconomics with micro foundations in economy of Iran and prepares new scopes for researchers. The main idea of this study is specification of investment function according to Ramsey model and its estimation by cointegration technique for period (1990:Q1-2007:Q4). The result of econometric estimation indicated a long run relationship between investment, capital stock, and shadow price of capital, installation cost of capital, capital price and terms of trade. Results showed that capital stock, shadow price of capital and terms of trade have direct effects and, installation cost of capital and capital price have inverse effect on investment.

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The optimal usage of oil as a natural resource is an important problem in exporting countries. These countries always are encountered with uncertainty and volatility of oil prices and its effects on real exchange rate. The main purpose of this paper is to investigate the relationship of between oil prices and exchange rate by emphasizing institutional quality in during 1995-2006. The model of this paper is estimated by panel data approach. Findings show that the oil prices have a positive effect on real exchange rate and it reduces international competition power. But institutional quality affects the extent to which the real exchange rates of oil-exporting countries co-move with the oil price. The results show that countries with high institutional quality such as control of corruption and regularity quality have real exchange rates which co-move less with the oil price.

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The main purpose of this article is to investigate the asymmetric effects of the real exchange rate shocks on the non-oil exports of Iran in the period of 1974-2007. For this purpose, using nonlinear Markov-Switching approach, positive and negative shocks of the real exchange rate have been extracted. Based on the results of the Log Likelihood Function and Akaike Information Criterion, the best Markov- Switching model has been specified as MSIH with three regimes for estimating the exchange rate shocks. After extracting the exchange rate shocks, in the next step, the main model of the research has been estimated by using the Johansen-Juselius and DOLS co-integration approaches. Results show that the impact of some explanatory variables (GDP of home country, GDP of Foreign country, Terms of Trade and Openness) on the non-oil exports of Iran has been positive and statistically significant at 95% level of confidence. However, the impact of both positive and negative shocks on the non-oil exports has been negative. Overall, the main hypothesis of symmetrical impacts of the exchange rate shocks has been rejected.

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Foreign exchange reserves management is a main part of international monetary system that determines the optimum value and optimum exchange composition of foreign reserves. Recently new emerging market countries as well as crude oil exporting economies have accumulated huge stocks of foreign reserves. But the optimality of the composition of these reserves is doubtful. In today’s world economy in which such phenomena as financial crises and variations in the value of main currencies are occurring, the rearrangement in new foreign exchange convergences is probable. So, determining the optimal composition of foreign exchange reserves is one of the most important issues in international and financial economics studies. In this article we used the dynamic optimizing model based on Mean-Variance and Transaction Cost approaches to determine the optimum composition of foreign exchange reserves in selected Middle East crude oil exporting countries during the period 1999-2007. The results show that it is necessary for selected economies to revise their foreign exchange reserves so that to decrease foreign reserves depreciation risk and upgrading their ability to debts repayments.

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  This study examines the theoretical and empirical aspects of the effect of capital inflow on exchange rate in 14 developing countries for the period 1980-2009. We developed an empirical model to investigate the effects of term of trade, real per capita output and trade openness on real exchange rate using d ynamic and heterogeneous panel and Pool Mean Group (PMG) methods. Estimation results show that various capital inflow channels have different effect on real exchange rate. For non-oil countries, only foreign aid inflow causes exchange rate appreciation in long-run and short-run and creates Dutch disease. In oil exporting countries, oil revenues and foreign direct investment cause exchange rate appreciation and create Dutch disease problems in the long-run. However, an increase in oil revenues in oil exporting countries causes more exchange rate appreciation than an increase in foreign direct investment.

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This paper examines the success of bilateral export potentials between Economic Cooperation Organization (ECO) member countries in non-oil industries. Based on the Anderson and Van Win-coop gravity model, an empirical trade equation is derived and estimated using the bilateral trade information of all 10 ECO countries as well as those of their 40 main common trade partners in non-oil industries over 1992-2009. We employed a GMM instrumental variable model (ABB estimator) for the dynamic specification and a FEM estimator for the static version of the model. The results show that the formation of ECO has no significant impact in increasing trade among member countries. The results also show that ECO trade potentials in non-oil industries are not far beyond the actual level. Furthermore, export potentials are asymmetrically distributed among members. Turkey, Iran and Pakistan are the only countries representing positive export potentials towards the group. In particular, Turkish export potentials to Iran are 3.5 times larger than those of Iran to Turkey. That is, free trade among ECO nations may result in regional trade deficit for some members.

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A standard assumption in the empirical literature is that exchange rate pass-through is both linear and symmetric. This implies that size (large-versus-small exchange rate changes) and direction (currency appreciations-versus-depreciations) have similar effects. In this paper these assumptions have investigated for Iran's export prices. So, this paper examines the asymmetric exchange rate pass-through to the monthly import price index in Iran during 1997:1–2010:9. Therefore positive and negative exchange rate shocks have been separated using Mork Criteria and large and small exchange rate changes by determining a threshold. The results show that the response of export prices to currency appreciation and depreciation is asymmetric. So, the negative exchange rate shocks have a greater effect on the export prices than the positive exchange rate shocks. According to our estimation results, there is a threshold at 1.3% of monthly changes in exchange rate of Iran and also export prices react asymmetrically to exchange rate at around this threshold. If both direction and size effects are considered, we find that export prices respond asymmetrically to large and small appreciations and depreciations.

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  In this paper we revisited the recent study examines the determinants of Intra-Industry Trade (IIT) in the agriculture, industry and services sectors between Iran and European :::union:::, ECO, GCC and ASEAN countries in the period 1980-2009, using a dynamic panel data.

  This study uses country-specific characteristics as explanatory variables. The results indicate that IIT is a negative function of the difference in GDP per capita between Iran and trade partners. There is also a statistically significant relationship between IIT and the countries demand similarities. Results also reveal the importance of the size of economy and product diversification in intra industry trades. Finally the hypothesis that trade increases by a decrease in transportation costs can’t be rejected.

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In the current structure of world economy, imports play an important role in the economic development strategy. Although taking the suitable policies for the imports of goods and services is important, but taking the correct strategy is subject to factors affecting imports. In the most of empirical studies, imports are a function of real income and real exchange rate. So, the effect of income inequality on imports of goods and services has less been investigated. Whereas, increase in income inequality causes an increase in the purchasing power of high income people and demand for imported luxury goods and also causes a change in the composition of domestic and imported consuming goods. This study examine the effect of income inequality on import of goods and services in 17 developed countries and 18 developing countries in the period 1990-2010 using generalized method of moment (GMM) analysis. The results indicate that there is a positive relationship between income inequality and imports of goods and services in developed countries while this relation is negative in developing countries. Furthermore, the relationship between GDP and imports of goods and services is positive in both groups of countries, while the relationship between real exchange rate and imports of goods and services is negative in both groups. Thus, policy makers should redistribute income and wealth in favor of the low income people and motivate them to participate in the production sectors, reduce the inequality gap and improve their competitiveness power in the market and enhance the income from the abroad.

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In economic literature especially in international economic literature, the Harberger, Laursen and Metzler (HLM) effect is an important issue. According to HLM effect, deterioration in the terms of trade decreases GNP and then causes deterioration in the current account. The main idea of this study is the examination of HLM effect in Economy of Iran. We use annual data of current account, terms of trade and GNP as relevant variables. In this paper ARDL approach was applied for period (1978 -2010). The Banerjee, Dolado and Mastre and also Pessaran and shin cointegration test verified the equilibrium long run relation between our variables. In the other words the results of econometric estimation indicated a long run relationship between current account, terms of trade and GNP. According to these results, terms of trade and GNP have direct effects on current account.

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The purpose of this study is to evaluate the impact of trade openness and economic globalization on employment. This study employs the Bounds test method and Autoregressive Distributed Lag(ARDL) model for Iranian economy during 1979-2009. Comparing with the other empirical studies, this study in addition to traditional index of trade liberalization as trade openness has been applied the new and more comprehensive economic globalization index as one dimension of the new KOF globalization index. This index includes the actual flows of trade such as trade, foreign direct investment and portfolio investment, and restrictions such as trade barriers and tariffs on actual flows. Also, the other control variables effective in employment such as GDP per capita, industrialization and government size has been considered. The results show a negative relationship between trade openness and employment but they show that the impact of economic globalization on employment is positive. Thus, it seems that the new economic globalization (KOF index) which is a broader comprehensive index is a better proxy of globalization.

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Iran’s share of world exports has not been great in recent years and the development of non-oil exports such as exports of industrial goods in order to reduce the economy's dependence on oil revenues made necessary. The real exchange rate is one of the most important variables affecting exports. In this context, investigate the effect of the real exchange rate volatility on different variables such as the export is important. The main objective of this paper is to investigate the impact of real exchange rate volatility on exports of Iran Industrial goods over the period of 1968-2010. To that end, The real exchange rate volatility index has been estimated incorporating with EGARCH (0,1)  model than we using co-integration of  Saikkonen & Lutkepohl and FMOLS to investigate the impact of the real exchange rate volatility index, along with other variables of model exports of industrial goods have been evaluated.
The main empirical finding of this paper show that the real exchange rate volatility variables and export prices have negative and significant effects on exports of industrial goods and variables GDP’s world, GDP’s Iran and trade  of openness  have positive and significant effects on exports of industrial goods. The empirical findings of this paper, The beneficial implications for investors and Policy makers needs to recognize the exact effects of exchange rate volatility on exports of industrial goods are provided.

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In many Developing Countries liberalization of international trade has been accompanied by demand for skilled labour and inequalityof wages.Thisphenomenon seems to be inconsistant with the Stopler- Samuelson Theorem.Studies in this respect show that imported high –tech capital andintermediate goods are skill-based, thus increasing the relative demand for skilled labour.
In such circumstances, identifying the impact of such goods upon the demand for skilled labour in Iran is of great importance.
In this paper, by using Translog cost function and the Method of Seemingly Unrelated Regression, short and long run demand function for the period of 1977- 2014 in Iran has been estimated. Althoug the short and long –run results arecompatible with the theortical expections, the investment on domestic research and development regarding the employment of skilled labour has been effective only in the long-run and not the short –run.

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In recent years, regarding the export of Food & Beverage is important.in Iran and the economic researchers have been noted it. The main objective of this paper is to examine the impact of market concentration as a structural variable, advertising and R&D expenditures as behavioral variables and investment productivity on the Iranian food exports as a performance variable. For this purpose, the data for Iranian food firms has been extracted from the Statistical Center of Iran over the period of 2000-2007. Moreover, the empirical model of this study has been estimated by the Static Panel Data approach (SPD). The empirical results indicate that the market concentration, advertising and R&D intensity and investment productivity have positive and significant effects on the Iranian food exports and the impact of researching intensity (as measured by the ratio of research & development expenditures on sale) is more than other explanatory variables. Therefore, the market conduct is one of the main determinants of Iranian food exports. Also, due to the direct impact of R & D spending effect on exports, we can say that if managers and policy makers increasing the research and development activity in Iranian food industry sector can promote non-oil exports, especially exports of food products in Iran. Moreover, Facilitate and encourage producers to participate in exhibitions and international markets sales increased exports of goods and services can help.