West African countries have suffered so much under poor economic growth rate; this issue is largely caused as a result of the poor performance in international trade, which is one of the most essential tools for economic growth. The study investigated the factors influencing international trade in West African Sub region. A Pooled OLS, Fixed Effect Model, and Random Effect Model were adopted to fit the panel regression model for the panel data sets. The study divided the models into three in other to have proper view of factors influencing international trade across West African Sub-region, each model contain the same independent variables and different dependent variables. The result shows that fixed effect model was accurate for the study. Also from the study it was observed that for the first model which use import as dependent variable, gross domestic production, foreign direct investment, and exchange rate are positively significant to import which implies that all the regressor variable influence import across west African sub region positively, while only GDP and FDI are positively significant to export and only FDI is positively significant to trade balance (TB). We therefore conclude that foreign direct investment is the key macro-economic variable that positively influences the policy of international trade across West African over the period of consideration.
Published in | American Journal of Theoretical and Applied Statistics (Volume 9, Issue 4) |
DOI | 10.11648/j.ajtas.20200904.14 |
Page(s) | 106-120 |
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Panel Data, Model, Pooled OLS, West African Sub-region
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APA Style
Yahaya Haruna Umar, Bamanga Muhammad, Udeme Omoren. (2020). Panel Data Analysis of International Trade in West African Sub Region. American Journal of Theoretical and Applied Statistics, 9(4), 106-120. https://doi.org/10.11648/j.ajtas.20200904.14
ACS Style
Yahaya Haruna Umar; Bamanga Muhammad; Udeme Omoren. Panel Data Analysis of International Trade in West African Sub Region. Am. J. Theor. Appl. Stat. 2020, 9(4), 106-120. doi: 10.11648/j.ajtas.20200904.14
AMA Style
Yahaya Haruna Umar, Bamanga Muhammad, Udeme Omoren. Panel Data Analysis of International Trade in West African Sub Region. Am J Theor Appl Stat. 2020;9(4):106-120. doi: 10.11648/j.ajtas.20200904.14
@article{10.11648/j.ajtas.20200904.14, author = {Yahaya Haruna Umar and Bamanga Muhammad and Udeme Omoren}, title = {Panel Data Analysis of International Trade in West African Sub Region}, journal = {American Journal of Theoretical and Applied Statistics}, volume = {9}, number = {4}, pages = {106-120}, doi = {10.11648/j.ajtas.20200904.14}, url = {https://doi.org/10.11648/j.ajtas.20200904.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20200904.14}, abstract = {West African countries have suffered so much under poor economic growth rate; this issue is largely caused as a result of the poor performance in international trade, which is one of the most essential tools for economic growth. The study investigated the factors influencing international trade in West African Sub region. A Pooled OLS, Fixed Effect Model, and Random Effect Model were adopted to fit the panel regression model for the panel data sets. The study divided the models into three in other to have proper view of factors influencing international trade across West African Sub-region, each model contain the same independent variables and different dependent variables. The result shows that fixed effect model was accurate for the study. Also from the study it was observed that for the first model which use import as dependent variable, gross domestic production, foreign direct investment, and exchange rate are positively significant to import which implies that all the regressor variable influence import across west African sub region positively, while only GDP and FDI are positively significant to export and only FDI is positively significant to trade balance (TB). We therefore conclude that foreign direct investment is the key macro-economic variable that positively influences the policy of international trade across West African over the period of consideration.}, year = {2020} }
TY - JOUR T1 - Panel Data Analysis of International Trade in West African Sub Region AU - Yahaya Haruna Umar AU - Bamanga Muhammad AU - Udeme Omoren Y1 - 2020/06/04 PY - 2020 N1 - https://doi.org/10.11648/j.ajtas.20200904.14 DO - 10.11648/j.ajtas.20200904.14 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 106 EP - 120 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20200904.14 AB - West African countries have suffered so much under poor economic growth rate; this issue is largely caused as a result of the poor performance in international trade, which is one of the most essential tools for economic growth. The study investigated the factors influencing international trade in West African Sub region. A Pooled OLS, Fixed Effect Model, and Random Effect Model were adopted to fit the panel regression model for the panel data sets. The study divided the models into three in other to have proper view of factors influencing international trade across West African Sub-region, each model contain the same independent variables and different dependent variables. The result shows that fixed effect model was accurate for the study. Also from the study it was observed that for the first model which use import as dependent variable, gross domestic production, foreign direct investment, and exchange rate are positively significant to import which implies that all the regressor variable influence import across west African sub region positively, while only GDP and FDI are positively significant to export and only FDI is positively significant to trade balance (TB). We therefore conclude that foreign direct investment is the key macro-economic variable that positively influences the policy of international trade across West African over the period of consideration. VL - 9 IS - 4 ER -