Atıf İçin Kopyala
Sheıkhı M., Bayraktar Y.
Eurasian Econometrics Statistics & Emprical Economics Journal, sa.25, ss.118-133, 2024 (Hakemli Dergi)
Özet
Technological developments have significantly impacted value creation in the manufacturing industry. It has been
emphasized that the accelerated technological changes since 1990 and the associated income increases are mainly
due to the growth of labour, capital and other production inputs, i.e. total factor productivity (TFP). Therefore,
recent development and growth accounting studies have revealed that TFP is a vital source of economic
development. This study uses the decision tree method from data mining methods to analyze the factors affecting
the total factor productivity in producing durable goods in the US economy between 1991-2020. Classification
and Regression Tree (CART) algorithm was used for the analysis. There is no decision tree method in TFP
analysis, and this study aims to fill the gap in the literature. The findings obtained as a result of the analysis support
the literature. According to the decision tree result, the ten best option are given. In addition, the increase in the
number of patents, employment of researchers and the share of R&D expenditures in GDP significantly affect the
growth in TFP.