The complexity of financial development and economic growth nexus in Syria: A nonlinear modelling approach with artificial neural networks and NARDL model

This study investigates the complex interaction between financial development (FD) and economic growth (EG) in Syria from 1980 to 2018 using advanced nonlinear modeling techniques including artificial neural network VAR models, nonlinear causality tests, and nonlinear autoregressive distributed lag...

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Detalles Bibliográficos
Autor principal: Al khatib, Abdullah Mohammad Ghazi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520322/
https://www.ncbi.nlm.nih.gov/pubmed/37767485
http://dx.doi.org/10.1016/j.heliyon.2023.e20265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520322/
https://www.ncbi.nlm.nih.gov/pubmed/37767485
http://dx.doi.org/10.1016/j.heliyon.2023.e20265

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