2015Journal of World Economic ResearchOpen access

Causality and Cointegration Between Export, Import and Economic Growth: Evidence from Morocco

Aïcha El Alaoui

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Abstract

This article investigates the relationship between export, import and economic growth using annual time series data for the Moroccan economy over the period 1980-2013. The cointegration technique has been employed to see the long run equilibrium relationship among variables. For this end, Granger causality test based on vector error correction model (VECM) has been adopted to see both short and long run causality among the variables. The cointegration results confirm the existence of the long-run relationship among these variables. For the short-run causality, the findings suggest (i) bidirectional causality between economic growth and import, (ii) unidirectional causality that run from export to import, and (iii) no-directional causality between economic growth and export.

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What this paper is about

This article investigates the relationship between export, import and economic growth using annual time series data for the Moroccan economy over the period 1980-2013. The cointegration technique has been employed to see the long run equilibrium relationship among variables. For this end, Granger causality test based on vector error correction model (VECM) has been adopted to see both short and long run causality among the variables. The cointegration results confirm the existence of the long-run relationship among these variables. For the short-run causality, the findings suggest (i) bidirectional causality between economic growth and import, (ii) unidirectional causality that run from export to import, and (iii) no-directional causality between economic growth and export.

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Available abstract

This article investigates the relationship between export, import and economic growth using annual time series data for the Moroccan economy over the period 1980-2013. The cointegration technique has been employed to see the long run equilibrium relationship among variables. For this end, Granger causality test based on vector error correction model (VECM) has been adopted to see both short and long run causality among the variables. The cointegration results confirm the existence of the long-run relationship among these variables. For the short-run causality, the findings suggest (i) bidirectional causality between economic growth and import, (ii) unidirectional causality that run from export to import, and (iii) no-directional causality between economic growth and export.

Key concepts: Cointegration, Causality (physics), Economics, Granger causality, Econometrics, Error correction model, Short run, Time series

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