Start Date
28-4-2022 9:00 AM
Document Type
Poster
Description
Many macroeconomic trends are thought of as having separate short-term and long-term behavior, often following a linear long-term trend, but being affected by cyclic fluctuations in the short term. In interpreting economic data, an understanding of dynamical systems is used to attempt to distinguish between short-term and long-term trends. This presentation will give a brief overview of the mathematical modelling of the business cycle, the modelling of long-term GDP growth, and explain how dynamical systems are used to combine these two models to interpret real-world data.
Using Dynamical Systems to Understand GDP Trends
Many macroeconomic trends are thought of as having separate short-term and long-term behavior, often following a linear long-term trend, but being affected by cyclic fluctuations in the short term. In interpreting economic data, an understanding of dynamical systems is used to attempt to distinguish between short-term and long-term trends. This presentation will give a brief overview of the mathematical modelling of the business cycle, the modelling of long-term GDP growth, and explain how dynamical systems are used to combine these two models to interpret real-world data.
Comments
The faculty mentor for this project was Brenda Edmonds, Mathematics.