EconPapers    
Economics at your fingertips  
 

Predicting Credit Demand with ARMS: A Machine Learning Approach

Jennifer E. Ifft, Ryan Kuhns and Kevin T. Patrick

No 258134, 2017 Annual Meeting, July 30-August 1, Chicago, Illinois from Agricultural and Applied Economics Association

Keywords: Agricultural Finance; Agribusiness; Agricultural and Food Policy (search for similar items in EconPapers)
Date: 2017-06-15
New Economics Papers: this item is included in 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/258134/files/A ... 216_59_113_132_0.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:aaea17:258134

DOI: 10.22004/ag.econ.258134

Access Statistics for this paper

More papers in 2017 Annual Meeting, July 30-August 1, Chicago, Illinois from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-19
Handle: RePEc:ags:aaea17:258134