Quick Access

Bu Dergi DOI ve Crosscheck üyesidir


Forecasting Turkey’s GDP Growth with Mixed Data Sampling (MIDAS) Method
Referring to the monetary value of the final goods and services produced in an economy within a country’s borders in a certain period, Gross Domestic Product (GDP), is one of the macroeconomic indicators that have been studied and its forecast to be modeled in the economics literature for many years. This study aims to forecast Turkey's GDP growth, using monthly tax revenues, in the period of 2006.Q1 - 2018.Q3 with Mixed Data Sampling (MIDAS) approach. The MIDAS methodology, eliminating the need to have the same frequency of dependent and independent variables which is a must in the traditional regression approach, allows the use of different frequency data in the same model. For this purpose, the aggregated-regression model and alternative MIDAS models were estimated and their forecasts were performed. Considering the performance of forecast models, it seems that among the MIDAS models the PGM-Almon model provides better results in forecasting GDP growth of Turkey's economy.

GDP, tax revenues, MIDAS, mixed data sampling, Turkey.

Advanced Search



    Our journal is indexed by Ulakbim Sosyal ve Beşeri Bilimler Veritabanı, Academic Journals Database, Akademia Sosyal Bilimler İndeksi (ASOS), Akademik Dizin, Directory of Open Access Journals (DOAJ), Directory of Research Journals Indexing (DRJI), Genamics Journal Seek, Google Scholar, Index Copernicus,  ISAM İlahiyat Makaleler Veritabanı, Journal Index, Sjournals Index ve Türk Eğitim İndeksi.



    New issue of Iğdır University Journal of Social Sciences has been published.


    For your desires, complaints and suggestions about journal, please contact us from CONTACT link.


    Please first join to the journal in order to send manuscript from AUTHOR APPLICATION menü in the left.

    naltrexone works by low dose naltrexone depression naltrexone challenge test

Adres :Iğdır Üniversitesi Lisansüstü Eğitim Enstitüsü, Şehit Bülent Yurtseven Kampüsü, 76000, IĞDIR
Telefon : Faks :
Eposta :sosbilder@igdir.edu.tr / igdirsosbilder@gmail.com

Web Yazılım & Programlama Han Yazılım Bilişim Hizmetleri