Gemechu Bekana Fufa, Abebe Legese
Gemechu Bekana Fufa1, Abebe Legese2
1Assistant Professor of Statistics, Department of Statistics, College of Natural and Computational Science, Wollega University, Ethiopia.
2Lecturer of Mathematics, Department of Mathematics, College of Natural and Computational Science, Wollega University, Ethiopia.
Volume - 11,
Issue - 3,
Year - 2020
Inflation refers to a situation in which the economy’s overall price level is rising. The inflation rate is the percentage change in the price level from the previous period. The aim of this study is to assess the determinants of inflation by using regression models in Ethiopia. Multiple regression Models, Logistic regression models and coefficients of determination methods of data analysis were used in this study. Comparisons were made between food price index and non-food price index using the Z- test and regression analysis. The findings of the study suggest that the percentage of food price index in higher than that of non-food price index. The determinants of inflation differ between sectors (food and non-food) and the time horizons under consideration. The most important forces behind inflation were money supply, access of agricultural products, Tax, Exchange rates, Infrastructure, Access of raw material for production, Import and Producers price index. To contain inflation, therefore, the policy interventions aimed at tackling the current determinants of inflation need to take into account the priorities of the government as the effect of policy instruments and means of solutions.
Cite this article:
Gemechu Bekana Fufa, Abebe Legese. Assessing the Determinants of Inflation in Ethiopia: Regression Models Application. Research J. Engineering and Tech. 2020;11(3):138-145. doi: 10.5958/2321-581X.2020.00024.0
1. Abdullah, M. and R. Kalim, 2012. Empirical Analysisof Food Price Inflation in Pakistan” World Applied Sciences Journal, 16(7): 933-939.
2. Agresti, A. (2007), an Introduction to Categorical Data Analysis. John Wiley And Sons, Inc, New York.
3. Central Statistical Agency (CSA, 2005). Report of the 2005. Federal Democratic Republic of Ethiopia, Addis Ababa. Central Statistical Authority (2001). Statistical Abstract
4. Fielding, D., 2008, ‘Inflation Volatility and Economic Development: Evidence from Nigeria’, University of Otago Economics Discussion Papers No. 0807, 1 – 22.
5. Geda A. and Tafere K. (2008): “The Galloping Inflation in Ethiopia: A Cautionary Tale for Aspiring ‘Developmental States’ in Africa”, Addis Ababa University, working paper series.
6. Hair, J.F., Black, W., Babin, B.J., Anderson, R.E. (2009). Multivariate Data Analysis, 7th edition, Prentice Hall. Hosmer D.W. & Lemeshow S. (2004). Applied Logistic Regression, 2nd ed.
7. Hamilton, J.D. (1994): Time Series Analysis. Princeton University Press, Princeton.
8. Healy, L., (2006) “Logistic Regression: An Overview”. Eastern Michighan College of Technology.
9. Hilbe, J. M.(2009), Logistic Regression Models, Chapman & Hall, London
10. Hosmer, D.W. and Lemeshow, S. (1989). Applied Logistic Regression, John Wliey & Son, Inc.
11. Hosmer, W.D. and S. Lemeshow (2000), Applied Logistic Regression. 2nd Ed., John Wiley and Sons, New York.
12. Hosmer, W.D. and S. Lemeshow (2000), Applied Logistic Regression. 2nd Ed., John Wiley and Sons, New York.
13. Jema, H., and Fekadu, G. (2012), “Determinates of the Recent Soaring Food Inflation in Ethiopia”, Universal Journal of Education and General Studies,
14. Johansen, S. (1988):“Statistical Analysis of Cointegration Vectors”. Journal of Economic Dynamics and Control, 12, 231-254.
15. John ,M., Worku ,S. and Paulos Z. (2009): “Impact of Soaring Food prices in Ethiopia”. International Food Policy Research Institute (IFPRI), Discussion paper 00846.
16. Keith, T. (2006). Multiple regression and beyond. PEARSON Allyn & Bacon.
17. Khan, M.S., & Senhadji, A.S., 2001, ‘Threshold Effects in the Relationship between Inflation and Economic Growth’ IMF Staff Papers 48(1), 1-21.
18. Lutkepohl, H. (1991): Introduction to Multiple Time Series Analysis .Springer-Verlag, Berlin.
19. Mantel, N. (1970), “Why Stepdown Procedures in in Variable Selection,” Technometrics, 12, 591-612.
20. Meyler, A, Kenny G. and Quinn T. (1998) : “Forecasting Irish Inflation using ARIMA models”. Central Bank of Ireland Technical Paper 3/RT/98.
21. Michael, Y., 2008, ‘The Relationship between Inflation and Unemployment in Ethiopia’. M.A. dissertation, Department of Economics. Addis Ababa University.
22. MoFED (2010): “National Economic Accounts Directorate”. Ministry of Finance and Economic Development, November 2010, Addis Ababa.
23. Mohsin S. khan and Axel Schimmelpfenning (2006).Inflation in Pakistan: Money or Wheat? IMFWP/06/160
24. Muche N. (2007): “Macroeconomic Policy, Inflation and Output in Ethiopia,” A paper Presented at a workshop organized by MoFED in collaboration with the Resident Representative Office of the IMF on February 28, 2007.
25. Muhammad A. and Nousheen A. (2014): Statistical Analysis of the Factors Affecting Inflation in Pakistan. Middle-East Journal of Scientific Research 21 (1): 181-189, 2014
26. World Bank (2012): “Economic Overview of Ethiopia”, available at http://www.worldbank.org/en/country/ethiopia/overview
27. Yohannes A. B. ,Josef,L. and Dick D. (2009):“Inflation Dynamics and Food Prices in an Agricultural Economy: The Case of Ethiopia’’. Working paper in Economics, No 347.