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- W2186170400 abstract "This article explores the management of risk credit in a savings and credit mutual in a rural community in Senegal. Using a logit model, we built a credit scoring model for this mutual. There are three main models of scoring. The principal advantage of the regression model is that it clearly shows the link between credit risk and its characteristics, and hence, has a strong predictive power. Our findings show that the variables age, age-squared, gender reimbursement history, guarantee and frequency of reimbursement are all statistically significant in regards to their relationship with the probability of repayment in the logit model. This informative credit scoring model developed for MECZOP allows for an assessment of variables that influence significantly late reimbursement; however, it needs to be tested on old clients and new borrowers. Author’s Note Ousseni Kinda holds a master’s degree in Economics and is currently pursuing a Master of Public Administration in Development Practice at Cheikh Anta Diop University. He has participated in field work at the Millennium Villages Project in Potou, Senegal addressing issues of microinsurance and microcredit. He is interested in further conducting research on economic diversification and more generally on issues of sustainable development. Audrey Achonu is currently pursuing a Master of Public Administration in Development Practice at Columbia University. She recently interned at the Millennium Village Project in Potou, Senegal where the study was conducted. She holds a bachelor’s degree in Economics with a minor in Political Science, Audrey hopes to continue working on how to foster economic growth at the macro and micro-level, ensuring that growth occurs at all levels of development." @default.
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- W2186170400 date "2012-01-01" @default.
- W2186170400 modified "2023-09-27" @default.
- W2186170400 title "Building A Credit Scoring Model For The Savings And Credit Mutual Of The Potou Zone (MECZOP)/Senegal" @default.
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