Sebastian Fossati Pereira, PhD, MA, BS
Winter Term 2024 (1860)
ECON 497 - Econometric Methods
★ 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
TR 09:30 - 10:50 (T B-104)
ECON 500 - Selected Topics in Economics
★ 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 B2 (19559)
2024-01-08 - 2024-04-12
TR 14:00 - 15:20 (T 1-083)
ECON 593 - Prediction and Machine Learning for Economics
★ 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
TR 12:30 - 13:50 (T 1-083)
Winter Term 2025 (1900)
ECON 497 - Econometric Methods
★ 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 B01 (75664)
2025-01-06 - 2025-04-09
TR 09:30 - 10:50 (TBD)
ECON 504 - Applied Economics Projects II
★ 3 (fi 6)(EITHER, 3-0-0)
This is an applied projects course in which you will be interacting directly with a partner organization in industry, government, or the non-profit sector, with an Economics faculty member to provide guidance and supervision. No in-class meeting pattern; group meetings and advisor meetings will be scheduled throughout the term as needed.
LECTURE B01 (78541)
2025-01-06 - 2025-04-09
TR 14:00 - 15:30 (TBD)
ECON 593 - Prediction and Machine Learning for Economics
★ 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 B01 (76636)
2025-01-06 - 2025-04-09
TR 11:00 - 12:20 (TBD)