Can Machine Learning Help Predict Agricultural Trade Patterns?
Munisamy Gopinath,
Feras Batarseh and
Jayson Beckman
No 339352, 2019: Recent Advances in Applied General Equilibrium Modeling: Relevance and Application to Agricultural Trade Analysis, December 8-10, 2019, Washington, DC from International Agricultural Trade Research Consortium
Keywords: Agribusiness; Agricultural Finance; International Relations/Trade; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Pages: 25
Date: 2019-12
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/339352/files/S ... tarseh%20Beckman.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:iats19:339352
DOI: 10.22004/ag.econ.339352
Access Statistics for this paper
More papers in 2019: Recent Advances in Applied General Equilibrium Modeling: Relevance and Application to Agricultural Trade Analysis, December 8-10, 2019, Washington, DC from International Agricultural Trade Research Consortium
Bibliographic data for series maintained by AgEcon Search ().