On the Comparison of Ordinary Least Squares and Quantile Regression with Nigerian Financial Data on Trade Balance, Foreign Inflow and Imports
Ogoke Uchenna Petronilla *
University of Port Harcourt, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
This research work compared the Ordinary Least Squares Regression and Quantile Regression models, as well as the differences between them thereby examining the compared models in terms of goodness of fit statistic and also recommend a suitable fit model for the data collected. These methods were applied to the Nigerian Financial Data on Trade Balance, Foreign Inflow and Imports on the Nigerian Gross Domestic Product. The results via this study, shows that the influence of Trade Balance, Foreign Inflow and Imports vary on the Nigerian Gross Domestic Product depending on the quantile one is looking at. This study recommends the robustness and stability of the Quantile regression model considered as an alternative to the Ordinary Least Square Model.
Keywords: Stable, robust, expected loss, loss function, quantile regression