ECON 475
Spring 2024 Part of Term 1
Jan 16-May 1
Credit: 3 OR 4 hours.
Overview of modern, quantitative, statistical and econometric methods for forecasting and evaluating forecasts. Topics include linear regressions; modeling and forecasting trends and seasonality; characterizing and forecasting cycles; MA, AR, and ARMA models; forecasting with regressions; evaluating and combining forecasts. Advanced topics include unit roots, stochastic trends, ARIMA models, and smoothing will be covered as time permits.
3 undergraduate hours. 4 graduate hours. Prerequisite: ECON 203; ECON 302; MATH 220/MATH 221 are required. MATH 231 is recommended.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
68921
|
Lecture-Discussion
|
A3
|
9:30AM
-10:50AM
|
TR
|
David Kinley Hall
|
Xie, S
|
|
|
|
69326
|
Lecture-Discussion
|
A4
|
9:30AM
-10:50AM
|
TR
|
David Kinley Hall
|
Xie, S
|
|