Can agricultural credit scoring for microfinance institutions be implemented and improved by weather data?
Ulf Römer and
Oliver Musshoff
No 1703, DARE Discussion Papers from Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE)
Abstract:
[Purpose] In recent years, the application of credit scoring in urban microfinance institutions became popular, while rural microfinance institutions, which mainly lend to agricultural clients, are hesitating to adopt credit scoring. The present study aims to explore whether microfinance credit scoring models are suitable for agricultural clients, and if such models can be improved for agricultural clients by accounting for precipitation. [...]
Keywords: Microfinance; Credit scoring; Agricultural credit; Precipitation (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-agr, nep-env, nep-mfd and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/156680/1/883573504.pdf (application/pdf)
Related works:
Journal Article: Can agricultural credit scoring for microfinance institutions be implemented and improved by weather data? (2017) 
Working Paper: Can agricultural credit scoring for microfinance institutions be implemented and improved by weather data? (2017) 
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:zbw:daredp:1703
Access Statistics for this paper
More papers in DARE Discussion Papers from Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().