| |
Nov 25, 2024
|
|
|
|
|
ECON 416/4061 - Mathematical Economics (3 cr.)
Prerequisites
Description
The course starts with a discussion of quasiconcave programming (Kuhn-Tucker theorem), then moves on to linear (first- and second-order) and nonlinear difference equations. This is followed by linear and nonlinear differential equations, including stability analysis, steady-state equilibrium, convergence and phase diagrams. In addition, systems of differential equations (the saddle path) are also studied. The final component of the course is dynamic optimization covering finite- and infinite-horizon problems as well as discounting. Economic applications are emphasized throughout the course.
When Offered
Offered in fall.
Check course scheduling information
Add to Portfolio (opens a new window)
|
|
