Time-Varying Causality Impact of Global Economic Conditions Index on Remittances in Lebanon

Abstract Using the recently developed Global Economic Conditions Index, a time-varying Granger causality approach, as well as relying on the monthly dataset from January 2002 to June 2021, we investigate both symmetric and asymmetric causality between the Global Economic Condition Index and remittances in Lebanon, a small open economy significantly reliant on remittances. Rather than being asymmetric, we find a statistically significant, symmetric, time-varying causality between the Global Economic Conditions Index and remittances. Several robustness tests validate our findings. Given this finding, we propose relevant policy recommendations.

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Publication Details

Journal
Review of Middle East Economics and Finance
Published
2025-04-01
DOI
https://doi.org/10.1515/rmeef-2025-0002
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
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article

Time-Varying Causality Impact of Global Economic Conditions Index on Remittances in Lebanon

Selçuk Akçay
Review of Middle East Economics and Finance
Migration and Labor Dynamics
article

Time-Varying Causality Impact of Global Economic Conditions Index on Remittances in Lebanon

Selçuk Akçay
article en

Abstract

Abstract Using the recently developed Global Economic Conditions Index, a time-varying Granger causality approach, as well as relying on the monthly dataset from January 2002 to June 2021, we investigate both symmetric and asymmetric causality between the Global Economic Condition Index and remittances in Lebanon, a small open economy significantly reliant on remittances. Rather than being asymmetric, we find a statistically significant, symmetric, time-varying causality between the Global Economic Conditions Index and remittances. Several robustness tests validate our findings. Given this finding, we propose relevant policy recommendations.

Review of Middle East Economics and FinanceVol. 21(1)
Afyon Kocatepe University (TR)
Openalex Percentile: Top 91%
Migration and Labor Dynamics
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