Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods
[Évaluation de la sensibilité du prix mondial du maïs aux productions régionales à l'aide de méthodes statistiques et d'apprentissage automatique]
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DOI: 10.3389/fsufs.2021.655206
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Cited by:
- Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023.
"AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model,"
Ecological Economics, Elsevier, vol. 208(C).
- Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021. "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Long, Shaobo & Li, Jieyu & Luo, Tianyuan, 2023. "The asymmetric impact of global economic policy uncertainty on international grain prices," Journal of Commodity Markets, Elsevier, vol. 30(C).
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Keywords
Agricultural commodity prices;Statistics
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