University of IsfahanInternational Economics Studies2008-964352120220901The Monetary Channel of Foreign Exchange Interventions: A Mixed Frequency Data Sampling (MIDAS) Approach1102789410.22108/ies.2023.134583.1137ENMahboubehAbaszadehFaculty of Management and Economics, Tarbiat Modarres University, Tehran, IranBahramSahabiFaculty of Management and Economics, Tarbiat Modarres University, Tehran, IranHassanHeydariFaculty of Management and Economics, Tarbiat Modarres University, Tehran, IranJournal Article20220731This 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.<br /><strong>JEL Classification: </strong>E58, F31, B41.https://ies.ui.ac.ir/article_27894_13438303397a6459d218a015ed924a00.pdfUniversity of IsfahanInternational Economics Studies2008-964352120220901Nonlinear Threshold Effect of Telecommunications Infrastructure Development on Economic Growth in D8 Countries: Panel Smooth Transition Regression (PSTR) Model11243002210.22108/ies.2024.139275.1150ENFahmidehFattahiPh.D in Economics, Department of Economics, Faculty of Economics and Management, Urmia University, Urmia, IranHassanKhodavaisiAssociate Professor of Economics, Department of Economics, Faculty of Economics and Management, Urmia University, Urmia, IranJournal Article20230928This 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.
<strong>JEL Classification: </strong>O40, O33, C23.https://ies.ui.ac.ir/article_30022_c98f7da78b81d54c361078fdac22898d.pdf