★ 3 (fi 6)(EITHER, 3-0-0)
Methods for modeling and forecasting economic data. Topics may include regression models, cross-validation, machine learning methods, classification, predictive analytics, and forecasting with time series data. Prerequisites: ECON 109 and 399 or equivalent.
LECTURE A1 (88489)
2023-09-05 - 2023-12-08
TH 09:30 - 10:50 (T 1-083)
★ 1.5 (fi 6)(VAR, UNASSIGNED)
SEMINAR A1 (88936)
★ 1.5 (fi 6)(VAR, UNASSIGNED)
SEMINAR A1 (88937)
★ 3 (fi 6)(EITHER, 3-0-0)
Econometric problems and techniques with emphasis on regression methods and hypothesis testing. Single equation techniques and introduction to simultaneous equation systems. Matrix algebra is used extensively. Prerequisites: ECON 109, ECON 386, 387 and 399 or equivalent. Prerequisite or Corequisite: ECON 481 and 482. Credit will not be granted for both ECON 497 and 400.
LECTURE B1 (16879)
2024-01-08 - 2024-04-12
TH 09:30 - 10:50 (T B-104)
★ 3 (fi 6)(EITHER, 3-0-0)
Content varies from year to year. Topics announced prior to registration period. Additional prerequisites may be required; consult the department for further information.
LECTURE B1 (16880)
2024-01-08 - 2024-04-12
TH 11:00 - 12:20 (HC 4-96)
★ 3 (fi 6)(EITHER, 3-0-0)
Statistical methods for modeling and forecasting economic data. Topics may include data wrangling and exploration, visualization, cross-validation, regression models, machine learning methods, classification, predictive analytics, and forecasting with time series data.
LECTURE B1 (18456)
2024-01-08 - 2024-04-12
TH 12:30 - 13:50 (T B-104)