ECON 256 - Applied Econometrics

4 Credits

1 Units

An introduction to regression-based modeling as applied to economic, management, marketing, and other business-related examples. Emphasis is on how to use econometrics to inform decision-making: to formulate, model, and interpret results of real-world problems based on data. In addition to learning various modeling techniques, the course focuses on often encountered data problems such as multicollinearity and serial correlation of errors. There is significant emphasis on correct specification of models and interpretation of results. Students will learn to use econometric software to estimate models and detect and address common challenges inherent in data.

Prerequisite: ECON 152 & ECON 156 or MATH 107 or ECON 153 and ECON 154
Credit Type Code: Letter Grade