This paper seeks to analyze and understand the dynamics between charitable donations and income inequality in the United States. Through the theoretical lens of financialization and income inequality, we analyze data from the Panel Survey of Income Dynamics. We utilize probabilistic regression models to find and compare the impact of demographics on the likelihood of an American household donating to charity. Our results show that age, sex, and income have positive impacts on donation likelihoods, while non-white racial groups can be seen having a lower probability of donation. Analyzing household data from lower-income groups allows for a recognizing of the impacts that income inequality has on philanthropy from a donor side population that has scarcely been looked at before.
Date of Completion
Bachelor of Science in Economics
Date of Award
University of Puget Sound
Evans, Drew, "Understanding Philanthropy and Inequality in the United States through Probabilistic Regressions" (2020). Economics Theses. 110.