ECON 475
Fall 2021 All Classes
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 | |
|---|---|---|---|---|---|---|---|---|
|
70826
|
Lecture-Discussion
|
A3
|
12:30PM
-1:50PM
|
MW
|
217 Noyes Laboratory
|
Xie, S
|
|
|
|
70965
|
Lecture-Discussion
|
A4
|
12:30PM
-1:50PM
|
MW
|
217 Noyes Laboratory
|
Xie, S
|
|
|
|
76093
|
Online
|
B3
|
2:00PM
-3:20PM
|
MW
|
n.a.
|
Morais Santos, I
|
|