Modelling Monetary Policy Mechanism in Driving the Control of Inflation Growth in Nigeria
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The study examined Modeling Monetary Policy Mechanism in Driving the Control of Inflation Growth In Nigeria. Multiple Linear Regression Model (MLRM) estimating technique was adopted as a tool in fitting the model where inflation rate serves as response variable and income growth rate, money supply, exchange rate, domestic credit growth rate and government expenditure served as explanatory variables. Data made use of were collected from the Central Bank of Nigeria (CBN) Statistical Bulletin, December 2018, between 1998 to 2018. The R-Statistical software package was adopted to carry out the analysis. The result of the P-value of Money supply, Exchange rate and Domestic credit growth were all statistically significant with 0.00233, 0.0000696 and 0.01131 respectively at (0.05). Though, the real income growth rate and government expenditure do not appreciably contribute to controlling the inflation growth rate. The overall model contributes significantly to controlling the inflation growth rate with a P-value of 1.138 x 10-15. The coefficient of determination (R-square) is very high which implies that the model best captured the control of the inflation growth rate that is being considered. The study however concluded that three of the explanatory variables made much significant impact in controlling inflation growth rate in Nigeria.
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References
-
Anidiodu, G. A., Okolie, P.I.P., & Oleka, D.C, (2018): Analysis of inflation and its effect on economic growth in Nigeria. Journal of Economics and Finance, 9(1), 28-36. https://pdfs.Semanticscholar.org/c3ff/445634.5e5aoa17efb5c3da4oeoaadc8 bf38e.pdf.
Google Scholar
1
-
Arua, A. I., Chigbu, P. E., Chukwu, I. E., Ezekwem, C. C., Okafor, F. C. (2000). Advanced Statistics for Higher Education. The Academic Publishers, Nsukka, 1, 81.
Google Scholar
2
-
Atanlogun, S. K, Edwin, O. A., & Omotosho, S. A. (2016). On comparative Study of Efficiency of Standardized and Unstandardized Regression Model for the Effect of Climatic Variability on Maize Production in Nigeria. (Forest Region). International Journal of Mathematics and Computer Research (IJMCR), 4(11), 1650-1658.
Google Scholar
3
-
Chung, H., Jean-Philippe, L., David, R., & Williams, J. C. (2011). Estimating the macroeconomic effects on the Fed’s Asset purchase. FRBSF Economic Letter. Retrieved from: http://wwww.frbsf.org/publication/economics/letter/2011/ei2011-03.html.
Google Scholar
4
-
Friedman, M. (2010) Counter-Revolution in Monetary theory. IEA Occasional Paper, 33.
Google Scholar
5
-
Federal Reserve Board. (2011). Board of Governors of the Federal Reserve System: minutes of the federal open market committee. Retrieved from: https://www.federalreserve.gov/monetarypolicy/fomcminutes20110622.html.
Google Scholar
6
-
Goldberg, L. S. (2010) Is the international role of the dollar changing? Federal Reserve Bank of New York, current issues in Economics and Finance. Retrieved from: http://www.newyork fed.org/research/currentissues/ci 16-1.html.
Google Scholar
7
-
Rudebusch, G. D. (2010) The Fed’s Exit Strategy for Monetary policy. FRBSF Economic letter. Retrieved from: http://www.frbsf.org/publications/economics/letter/2010/ei2010-18.html.
Google Scholar
8
-
Williams, J. C. (2011) Economics instruction and the brave new world of Monetary policy. Presentation of the AEA National Conference on Teaching Economics and Research in Economic Education, June 1; 2011. Retrieved from: http://www.frbsf.org/News/speeches/2011/john-williams-0601.html.
Google Scholar
9
-
Williams, J. C. (2011). Unconventional Monetary Policy: lessons from the past three years. FRBSF Economic letter. Retrieved from: http://www.newyork fed.org/research/current issues/ci16-1.html.
Google Scholar
10