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Decoding economic forecasts: A novel approach to predict trends through long-term time series analysis of transportation data and GDP causal relationships Cover

Decoding economic forecasts: A novel approach to predict trends through long-term time series analysis of transportation data and GDP causal relationships

International Journal of Management and Economics
Volume 61 (2025): Issue 3 (September 2025)
By: ,  ,   and    
Open Access
|Feb 2025
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DOI: https://doi.org/10.2478/ijme-2024-0038 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701
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Language: English
Page range: 174 - 186
Submitted on: Apr 27, 2024
Accepted on: Oct 12, 2024
Published on: Feb 14, 2025
Published by: Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
causality,
correlation analysis,
logistics data,
prediction of economic growth
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Business management,
Management accounting, financial controlling, cost calculation, investment

© 2025 Makoto Saito, Tetsuaki Oda, Kiminori Gemba, Keiko Kubota, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 61 (2025): Issue 3 (September 2025)
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