Akademik Veri Yönetim Sistemi
Istanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, cilt.19, sa.37, ss.769-780, 2020 (Hakemli Dergi)
This paper examines, the relationship between Capital Input – ICT and Capital Input – Non ICT, LaborQuality and GDP growth in emerging markets by using the panel regression model. The data series havebeen obtained from “The Conference Board Total Economy Database”. These series are annual andinclude the years between 1996-2017. In order to apply the model on the computer, Stata 14.0 has beenused. Based on the F, LM, LR and Score Tests results, the classical model was rejected, and the presenceof the unit effect was determined. According to the Hausman's specifications test results, the randomeffects model was applied. In the random effects model, both heteroscedasticity and autocorrelation wereobserved. According to the results of the Robust Estimation of the Random effects Model, Capital Input –ICT and Capital Input – Non ICT variables has significant impact on GDP. 1% increase in Capital Input –ICT creates 0.0735% increase in GDP. 1% increase in Capital Input – Non ICT creates 0.5709 % increasein GDP. Labor Input–Quality variable does not indicate statistical significance on GDP.