Paper Title
Estimating Total Factor Productivity by Growth Accounting And Growth Regression Methods: Evidence from Silk Road Region

Abstract
In the article, the growth of total factor productivity (TFP) is estimated for the panel data of 86 countries (and its various samples) located in the ancient Silk Road region for the period of 1991-2019 by growth accounting and growth regression methods. The findings are: 1) both growth accounting and growth regression methods produce the estimates of the TFP figures that are highly correlated with each other and reflect the technological progress of the countries 2) there are significant differences in TFP growth rates among different income level countries 3) in growth regression, due to existence of serial correlation and heteroscedasticity issues, the GLS model was preferred over Pooled OLS, Fixed Effect and Random Effect models 4) there is a consistency and robustness between our estimations of TFP levels and growth rates with those of other international databases such as Penn World Tables 10.0. Keywords - total factor productivity, growth theory, growth accounting, growth regression, Pooled OLS, Fixed (Random) Effect, Generalized Least Squares.