ECON 475
Spring 2020 Part of Term 1
Jan 21-May 6
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 | |
|---|---|---|---|---|---|---|---|---|
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69334
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Lecture-Discussion
|
B3
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ARRANGED
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n.a.
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Location Pending
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69335
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Lecture-Discussion
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C3
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2:00PM
-3:20PM
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TR
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215 David Kinley Hall
|
Philipps, C
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