Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Some Generalized Estimating Equations Models Based on Causality Tests for Investigation of the Economic Growth of the Country Groups
Foundations of Computing and Decision Sciences · Eylül 2021
YÖKSİS Kayıtları
Some Generalized Estimating Equations Models Based on Causality Tests for Investigation of the Economic Growth of the Country Groups
Foundations of Computing and Decision Sciences · 2021 Emerging Sources Citation Index
PROFESÖR NESLİHAN İYİT →
Some Generalized Estimating Equations Models Based on Causality Tests for Investigation of The Economic Growth of The Country Groups
Foundations of Computing and Decision Sciences · 2021 Emerging Sources Citation Index
DOKTOR ÖĞRETİM ÜYESİ HARUN YONAR →
Some Generalized Estimating Equations Models Based on Causality Tests for Investigation of The Economic Growth of The Country Groups
Foundations of Computing and Decision Sciences · 2021 Emerging Sources Citation Index
DOKTOR ÖĞRETİM ÜYESİ HARUN YONAR →
Makale Bilgileri
DergiFoundations of Computing and Decision Sciences
Yayın TarihiEylül 2021
Cilt / Sayfa46 · 297-315
Scopus ID2-s2.0-85116030507
Erişim🔓 Açık Erişim
Özet
In this study, investigation of the economic growth of the Organization for Economic Cooperation and Development (OECD) countries and the countries in different income groups in the World Data Bank is conducted by using causality analyses and Generalized Estimating Equations (GEEs) which is an extension of Generalized Linear Models (GLMs). Eight different macro-economic, energy and environmental variables such as the gross domestic product (GDP) (current US$), CO2 emission (metric tons per capita), electric power consumption (kWh per capita), energy use (kg of oil equivalent per capita), imports of goods and services (% of GDP), exports of goods and services (% of GDP), foreign direct investment (FDI) and population growth rate (annual %) have been used. These countries have been categorized according to their OECD memberships and income groups. The causes of the economic growth of these countries belonging to their OECD memberships and income groups have been determined by using the Toda-Yamamoto causality test. Furthermore, various GEE models have been established for the economic growth of these countries belonging to their OECD membership and income groups in the aspect of the above variables. These various GEE models for the investigation of the economic growth of these countries have been compared to examine the contribution of the causality analyses to the statistical model establishment. As a result of this study, the highlight is found as the use of causally-related variables in the causality-based GEE models is much more appropriate than in the non-causality based GEE models for determining the economic growth profiles of these countries.
Yazarlar (2)
1
Harun Yonar
2
Neslihan Iyit
Anahtar Kelimeler
Causality Analyses
Economic Growth
Generalized Estimating Equations
Generalized Linear Model
Organization for Economic Cooperation and Development
Toda-Yamamoto Causality Test
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
1
Atıf
2
Yazar
6
Anahtar Kelime