Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/245253 
Year of Publication: 
2019
Citation: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 7 [Issue:] 1 [Publisher:] Taylor & Francis [Place:] Abingdon [Year:] 2019 [Pages:] 1-17
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
This article examines the causal relationship between foreign aid, poverty, and economic growth in 82 developing countries for the period 1981-2013. Taking advantage of the recently developed dynamic panel data estimation techniques, the paper tests for both panel unit roots and cointegration before employing the panel vector error-correction model (VECM) Granger causality test. The main findings are that in the short run, there is evidence of (a) a bidirectional causal relationship between economic growth and poverty; (b) a unidirectional causal relationship from economic growth to foreign aid; and (c) unidirectional causality from poverty to foreign aid. In the long-run, the study found that (a) foreign aid tends to converge to its long-run equilibrium path in response to changes in economic growth and poverty; and (b) both economic growth and poverty jointly Granger cause foreign aid.
Subjects: 
dynamic panel data analysis
economic growth
foreign aid
Granger causality
official development assistance (ODA)
poverty
vector error-correction model (VECM)
JEL: 
C23
F35
I32
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article

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