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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

International Journal of Applied Research

Vol. 6, Issue 9, Part F (2020)

Analysis of macroeconomic predictive variables on gross domestic product using stepwise regression model

Author(s)
Onwubuya MN and Orighoyegha G
Abstract
Over the years, interest has been on estimating best regression models that minimizes error when several estimated models contain irrelevant independent variables. This study deals with analysis of macroeconomic predictive variables of gross domestic product. The data used for this study were obtained from a secondary source. A multiple regression model containing six independent variables of economic data were fitted. The variables included in the model are external debt, exchange rate, foreign direct investment, net export, consumption and debt payment. The data were analyzed through the use of stepwise regression with the help of statistical software (SPSS). The best model excluded both the debt service payment and the external for the single variable model and excludes only the debt service payment for the two variable models. Based on the analysis, consumption index and exchange rate influences the gross domestic product better; therefore, the use of stepwise regression is really essential in determining the predictive power of a regression model.
Pages: 430-437  |  298 Views  8 Downloads
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How to cite this article:
Onwubuya MN, Orighoyegha G. Analysis of macroeconomic predictive variables on gross domestic product using stepwise regression model. Int J Appl Res 2020;6(9):430-437. DOI: 10.22271/allresearch.2020.v6.i9f.7199
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International Journal of Applied Research