Senior Honors Projects, 2010-2019
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Date of Graduation
Fall 2018
Document Type
Thesis
Degree Name
Bachelor of Science (BS)
Department
Department of Economics
Advisor(s)
William Wood
Joanne Doyle
Philip Heap
Abstract
Traditional mathematical analysis states that the most efficient way to pay off interest-bearing consumer debt is to pay the individual debts in order from largest to smallest interest rate. In doing this, the debtor will eliminate the largest sources of interest first, thus shortening the overall time-to-pay. This method is known as the “Debt Avalanche.” The “Debt Snowball” method, popularized in large part by investor-author David Ramsey, recommends that consumers pay debts in order from smallest to largest, regardless of interest rate. In this paper, I conduct an empirical analysis of the Federal Reserve’s Survey of Consumer Finance (SCF), calculating time-to-pay for several thousand households’ worth of financial data using a simplified mathematical model of snowball and avalanche models. This paper concludes that though the avalanche is more effective in the majority of cases, the snowball method is a very close competitor that offers debtors additional psychological benefits in motivation and habit-forming.
Recommended Citation
McAllister, Evan, "A snowball's chance: Debt snowball vs. debt avalanche" (2018). Senior Honors Projects, 2010-2019. 699.
https://commons.lib.jmu.edu/honors201019/699
Title page for project
mcalliem_MATLAB.m (12 kB)
MATLAB code used in analysis
Included in
Behavioral Economics Commons, Econometrics Commons, Numerical Analysis and Scientific Computing Commons