Abstract
ABSTRACT This paper develops a tool to predict the percentage of compliance in the repayment of microloans granted by non-profit microfinance institutions (MFI) of the Uruguayan government. The database consists of 1,357 microloans granted by the Program for the Strengthening of Productive Entrepreneurs (PFEP) of the Uruguayan Ministry of Social Development (MIDES) during the period 2012–2016. The paper uses Cox (1972) proportional risk model, employing four penalty modes: ENET, LASSO, AENET and ALASSO. The analysis shows that with a reduced set of variables that are easy for the MFI to obtain, it is possible to obtain high predictive power.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
