Data-Driven Exploration of Factors Affecting Federal Student Loan Repayment
@article{Luo2018DataDrivenEO, title={Data-Driven Exploration of Factors Affecting Federal Student Loan Repayment}, author={Bin Luo and Qi Zhang and Somya D. Mohanty}, journal={ArXiv}, year={2018}, volume={abs/1805.01586} }
Student loans occupy a significant portion of the federal budget, as well as, the largest financial burden in terms of debt for graduates. This paper explores data-driven approaches towards understanding the repayment of such loans. Using statistical and machine learning models on the College Scorecard Data, this research focuses on extracting and identifying key factors affecting the repayment of a student loan. The specific factors can be used to develop models which provide predictive…
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