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Erschienen in: Annals of Data Science 5/2023

27.10.2021

Impact of Exchange Rate on Ethiopian Trade Balance: Evidence from ARDL Model

verfasst von: Fassil Eshetu, Nega Eshetu

Erschienen in: Annals of Data Science | Ausgabe 5/2023

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Abstract

The government of Ethiopia has persistently devaluated its currency in which few studies attempted to examine the effect on the country’s trade balance. Hence, this study examined the nexus between the real exchange rate and the trade balance of Ethiopia in the period between 1998 and 2020. The study employed the absorption, elasticity, and monetary approaches as a theoretical framework and the autoregressive distributed lag model as an analytical model. As descriptive analysis revealed, Ethiopia’s export is primarily dominated by agricultural products whereas, the import is largely dominated by capital goods, consumer goods, and fuel. The regression results disclosed that devaluation improves short and long-term trade balance. However, there is no evidence of the J-curve phenomenon. Both home and foreign income are positively and significantly related with the improvement in the trade balance while money supply and government expenditure are negatively and significantly related with the improvement in the trade balance. Hence, promoting domestic economic growth, Birr devaluation, tight fiscal and monetary policy, and reduction of trade barriers would improve the trade balance of Ethiopia.

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Fußnoten
1
Real Exchange Rate = \({E}_{t}(\frac{{HP}_{t}}{{FP}_{t}}\)), where \({E}_{t}\), \({FP}_{t}\) and \({HP}_{t}\) denote the nominal exchange rate, foreign price and home price respectively.
 
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Metadaten
Titel
Impact of Exchange Rate on Ethiopian Trade Balance: Evidence from ARDL Model
verfasst von
Fassil Eshetu
Nega Eshetu
Publikationsdatum
27.10.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Annals of Data Science / Ausgabe 5/2023
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-021-00360-x

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