Operations Research, Systems Engineering and Industrial Engineering Commons^™

Predictive Models For Charitable Giving Using Machine Learning Techniques, Leily Farrokhvar, Azadeh Ansari, Behrooz Kamali

Faculty & Staff Scholarship

Private giving represents more than three fourths of all U.S. charitable donations, about 2% of total Gross Domestic Product (GDP). Private giving is a significant factor in funding the nonprofit sector of the U.S. economy, which accounts for more than 10% of total GDP. Despite the abundance of data available through tax forms and other sources, it is unclear which factors influence private donation, and a reliable predictive mechanism remains elu- sive. This study aims to develop predictive models to accurately estimate future charitable giving based on a set of potentially influential factors. We have selected several factors, including unemployment …