Testing the validity of economic growth theories with Seemingly Unrelated Regression models: Application to Turkey in 1980-2010


SÜMER K. K.

Applied Econometrics and International Development, vol.12, no.1, pp.63-72, 2012 (Scopus) identifier

  • Publication Type: Article / Review
  • Volume: 12 Issue: 1
  • Publication Date: 2012
  • Journal Name: Applied Econometrics and International Development
  • Journal Indexes: Scopus
  • Page Numbers: pp.63-72
  • Keywords: Barro, Endogen growth, Growth, Harrod-Domar, Neo clasical growth, R&D, Romer, Seemingly Unrelated Regression, Solow, SUR
  • Istanbul University Affiliated: Yes

Abstract

Contrary to the Simultaneous Equation Systems, there is not any type of relation between equations in the Seemingly Unrelated Regression method. What is intended with the correlation state, indicating whether correlated or not, of regression models within the equation system, is the correlation state, indicating whether correlated or not, of error terms related to the models in question. With the help of different exogenous variables, economic growth theories are trying to explain the same endogenous variable, namely, economic growth. The primary objective of this study is to test the joint validity of the growth models, introduced by Solow, Harrod-Domar, Barro and Romer, for the Turkish economy by applying the Seemingly Unrelated Regression method.