Issues in Credit Risk Assessment in Agricultural Credit Markets
Onyeaghala, Raphael Onyema
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https://hdl.handle.net/2142/82963
Description
Title
Issues in Credit Risk Assessment in Agricultural Credit Markets
Author(s)
Onyeaghala, Raphael Onyema
Issue Date
2003
Doctoral Committee Chair(s)
Paul N. Ellinger
Department of Study
Agricultural Economics
Discipline
Agricultural Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, Agricultural
Language
eng
Abstract
Four explanatory variables: DA, wcVFP, ROA, and TDCLR are selected based on different criteria to determine the creditworthiness of borrowers. Predictability of the estimated model for default is compared with the actual data. Classification accuracy is utilized with the discrete models, while RMSE is used with the continuous models. The importance of the estimated models is also examined by the marginal effects of the explanatory variables on the probability of default.
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