On efficiency properties of an R-square coefficient based on final prediction error

Abstract This paper studies the efficiency of the coefficient of determination ( R F P E 2 ) based on final prediction error which is proposed by Rousson and Gosoniu (2007) , and compares it with conventional goodness-of-fit measures ( R 2 , R a 2 ) in linear regression models with both normal and non-normal disturbances.