EconPapers    
Economics at your fingertips  
 

County-level USDA Crop Progress and Condition data, machine learning, and commodity market surprises

An N.Q. Cao, Bisrat Haile Gebrekidan, Thomas Heckelei and Michel Robe

No 322281, 2022 Annual Meeting, July 31-August 2, Anaheim, California from Agricultural and Applied Economics Association

Keywords: Agricultural and Food Policy; Agricultural Finance; Research Methods/Statistical Methods (search for similar items in EconPapers)
Date: 2022-08
New Economics Papers: this item is included in nep-agr, nep-big and nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/322281/files/23000.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:aaea22:322281

DOI: 10.22004/ag.econ.322281

Access Statistics for this paper

More papers in 2022 Annual Meeting, July 31-August 2, Anaheim, California from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-11-07
Handle: RePEc:ags:aaea22:322281