Variable Selection in the Modeling of Nigeria Economic Growth
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 1
Abstract
This study aimed at identifying and retaining factors that contributed immensely to economic growth in Nigeria based on some variable selection methods. Stepwise regressions are often not efficient when there is multicollinearity. It was observed that the model suffers the problem of multicollinearity and this necessitate the use of other variable selection based on Partial least squares and Lasso. In this study, twelve factors were available to predict economic growth. It was observed that oil revenue, non-oil revenue and Capital Expenditure on Transfers have positive impacts on Nigeria economic growth and should be retained.
Authors and Affiliations
Adewale F. Lukman, Kayode Ayinde, Bola L. Solanke, Anihunlopo O. Alice Anihunlopo O. Alice, Onate C. Atachegbe
Keywords
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