ECON 493 - Economic Forecasting

★ 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.

ECON 900A - Directed Research Project

★ 1.5 (fi 6)(VAR, UNASSIGNED)

ECON 900B - Directed Research Project

★ 1.5 (fi 6)(VAR, UNASSIGNED)

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.

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.

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.