Author(s): Abdi Tesfaye, Gemechu Bekana, Mekonin Abera

Email(s): gemechubekana@wollegauniversity.edu.et

DOI: 10.5958/0975-4377.2020.00041.5   

Address: Abdi Tesfaye1, Gemechu Bekana2, Mekonin Abera3
1Department of Statistics, College of Natural and Computational Science, Bule Hora University, Bule Hora, Ethiopia.
2Assistant Professor of Statistics, Department of Statistics, College of Natural and Computational Science, Wollega University, Nekemte, Ethiopia.
3Lecturer of Statistics, College of Natural and Computational Sciences, Wollega University, Ethiopia.
*Corresponding Author

Published In:   Volume - 12,      Issue - 4,     Year - 2020


ABSTRACT:
The objective of this study was to Analysis of Economic Growth indicators in Ethiopia using Vector Autoregressive models. Yearly data set on the variables for the period of 1988 to 2018 was obtained from the National Bank of Ethiopia (NBE) and CSA. Vector Autoregressive (VAR) Models, Testing Stationary: Unit root test, Estimating the Order of the VAR, Cointegration Analysis (testing of cointegration), and Vector Error Correction (VEC) Models were used in this study for data analysis. Unit root test reveals that all the series are nonstationary at level and stationary at first difference. The result of Johansen test indicates the existence of one cointegration relation between the variables: LRGDP, Lexport, Limport, inflation and Exchange rate are co-integrated, implies that the variables have long run equilibrium relationship. The Result of Vector Error Correction Model (VECM) from term in LRGDP equation is weakly significant at 5% level and has a negative value, implying that there exists a long run relationship running from inflation, Lexport, Limport and Exchange rate to Real GDP. The final result shows that a Vector Error Correction (VEC) model of lag two with one cointegration equation best fits the data.


Cite this article:
Abdi Tesfaye, Gemechu Bekana, Mekonin Abera. Analysis of Economic growth indicators in Ethiopia using vector Autoregressive Models. Res. J. Pharma. Dosage Forms and Tech.2020; 12(4):249-257. doi: 10.5958/0975-4377.2020.00041.5


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