ECON 497 - Econometric Methods

3 units (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 386, 387 and 399 or equivalent. Prerequisite or Corequisite: ECON 481 and 482. Credit will not be granted for both ECON 497 and 400.

ECON 593 - Prediction and Machine Learning for Economics

3 units (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.

ECON 399 - Introductory Econometrics

3 units (fi 6)(EITHER, 3-0-1)

An elementary treatment of the major topics in econometrics with emphasis on applied regression methods. Prerequisites: ECON 281, 282 and 299 or equivalent, and MATH 156 or equivalent. Note: Not open to students with credit in AREC 313.

ECON 497 - Econometric Methods

3 units (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 386, 387 and 399 or equivalent. Prerequisite or Corequisite: ECON 481 and 482. Credit will not be granted for both ECON 497 and 400.

ECON 593 - Prediction and Machine Learning for Economics

3 units (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.