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The Relationship between Health Expenditures and Economic Growth in EU Countries: Empirical Evidence Using Panel Fourier Toda-Yamamoto Causality Test and Regression Models        
Yazarlar
Ayfer Özyılmaz
Türkiye
Yüksel Bayraktar
İstanbul Üniversitesi, Türkiye
Esme Işık
Malatya Turgut Özal Üniversitesi, Türkiye
Metin Toprak
İstanbul Sabahattin Zaim Üniversitesi, Türkiye
Mehmet Bilal Er
Türkiye
Furkan Beşel
Türkiye
Serdar Aydın
Öğr. Gör. Mehmet Fırat OLGUN
Kastamonu Üniversitesi, Türkiye
Sandra Collins
Özet
The aim of this study is to investigate the effect of health expenditures on economic growth in the period 2000–2019 in 27 European Union (EU) countries. First, the causality relationship between the variables was analyzed using the panel Fourier Toda–Yamamoto Causality test. The findings demonstrate a bidirectional causality relationship between health expenditures and economic growth on a panel basis. Secondly, the effects of health expenditures on economic growth were examined using the Random Forest Method for the panel and then for each country. According to the Random Forest Method, health expenditures positively affected economic growth, but on the country basis, the effect was different. Then, government health expenditures, private health expenditures, and out-of-pocket expenditures were used, and these three variables were ranked in order of importance in terms of their effects on growth using the Random Forest Method. Accordingly, government health expenditures were the most important variable for economic growth. Finally, Support Vector Regression, Gaussian Process Regression, and Decision Tree Regression models were designed for the simulation of the data used in this study, and the performances of the designed models were analyzed.
Anahtar Kelimeler
causality | economic growth | health expenditures | regression models
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı International Journal of Environmental Research and Public Health
Dergi ISSN 1660-4601
Dergi Tarandığı Indeksler SSCI
Dergi Grubu Q1
Makale Dili İngilizce
Basım Tarihi 11-2022
Cilt No 19
Sayı 22
Sayfalar 15091 /
Doi Numarası 10.3390/ijerph192215091
Makale Linki http://dx.doi.org/10.3390/ijerph192215091