https://ies.ui.ac.ir/ International Economics Studies en daily 1 Wed, 04 Mar 2020 00:00:00 +0330 Wed, 04 Mar 2020 00:00:00 +0330 https://ies.ui.ac.ir/article_24513.html Numerous models are proposed to model international trade and promote it. Vanek, instead of designing a trade pattern based on the production, introduced a pattern based on the factor content of trade. In the present study, apart from the Heckscher-Ohlin-Vanek (HOV) theorem, we attempt to determine the factor content of Iran's trade without factor price equalization by using internal input-output tables. Net trading is positive only for 7 sectors of Iran's economy, including oil and gas. It is negative for 91 percent of sectors that accounts for 78 percent of the economy. Moreover, Iran's factor content of trade is positive for 50 percent of industries, negative for 48%, and it is zero for two ones. In general, the factor content of trade for raw and mineral materials, services, electricity, gas and water infrastructure sectors are positive. In contrast, the factor content of trade is negative for activities like manufacturing of machinery and equipment and in general for sections that require intermediate, investment, and high-tech goods. Sign and rank tests are employed to assess the validity of HOV theorem. The sign test was found to be satisfied for 67% of cases. Rank test showed satisfaction in about 47% of the cases. JLE Classification: Y10: P45: O53: F14 https://ies.ui.ac.ir/article_27894.html This study aims to analyze the effectiveness of foreign exchange interventions by the Central Bank of Iran on the Iranian foreign exchange market from 2002 to 2017. For this purpose, we use a mixed frequency data sampling regression model (MIDAS). This enables us to use the available data at different frequencies and has a better forecast of the exchange rate. Examining the Iranian Rial/U.S. dollar exchange rate, we find that the Iranian Central Bank intervention effectively reduces the exchange rate level deviations. In this regard, a 1 percent increase in foreign exchange interventions in each period decreased the exchange rate level by 0.094 percent. Also, we find that the GDP has a negative effect on the exchange rate and the government deficit and growth money supply have a positive effect on the exchange rate level.  In addition, using the statistics of 2018, we examine the predictive power of the model. The result shows that the predicted values and the actual values are close in terms of direction. However, regarding the value, there is a difference.JEL Classification: E58, F31, B41. https://ies.ui.ac.ir/article_30022.html This study explores the impact of telecommunication infrastructure development on economic growth in D8 countries from 2007 to 2022. A panel smooth transition regression (PSTR) model is utilized to analyze this relationship. The chosen transition variable is the information and communication technology (ICT) index. The findings indicate a nonlinear association between the variables examined. The estimated threshold for the logarithm of the transition variable is 4.4433. Moreover, the results demonstrate that gross capital formation and urban population have a positive and significant effect on economic growth in the first regime. Conversely, financial development has a negative and significant impact on economic growth in the first regime. Furthermore, the results reveal that the urban population continues to have a positive and significant influence on economic growth, although its impact is lower compared with before. Additionally, financial development has a positive and significant effect on economic growth in the second regime.   JEL Classification: O40, O33, C23.