ECON 475

Spring 2024 Part of Term 1

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.

ECON 475 class schedule data for spring 2024
CRN Type Section Time Day Location Instructor Section Details
68921
Lecture-Discussion
A3
9:30AM -10:50AM
TR
David Kinley Hall
Xie, S
Part of Term:
1
Date Range:
01/16/24-05/01/24
Credit:
3 hours
Section Info:
FIELD: Econometrics & Macro. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions
Restriction(s):
Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s).
69326
Lecture-Discussion
A4
9:30AM -10:50AM
TR
David Kinley Hall
Xie, S
Part of Term:
1
Date Range:
01/16/24-05/01/24
Special Approval:
Departmental Approval Required
Credit:
4 hours
Section Info:
Students registered for graduate credit must complete additional work beyond the undergraduate requirements. Contact instructor for details when instruction begins. RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions
Restriction(s):
Restricted to students in the Economics department.
Restricted to Graduate - Urbana-Champaign.
COURSE EXPLORER
Email: Course Explorer Feedback

OFFICE OF THE REGISTRAR | 901 W. Illinois Street, Urbana, Illinois 61801

Site developed by: Technology Services at Illinois | UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN
1102 Digital Computer Laboratory | MC-256 | Urbana, IL 61801 | phone 217-244-7000