Factors affect economic growth empirical evidence from sudan economy

This paper aims to identify factors affecting the pattern of real GDP growth of Sudan. Secondary data for the period 1960–2009 are used via two classification methods i.e. discriminant analysis and Neural Network Analysis (NNA) in addition to Baxter-King frequency filter for depicting business cycles. Based mainly on growth models Okun's law and Harrod-Domar model results showed that growth has been affecting by labor productivity; terms of trade; investment and saving ratio to GDP, growth of unemployment; terms of trade; import duty to ratio GDP; general price growth. Both estimation methods reached the same results. NNA outperformed discriminant analysis.