Introduction
Econometrics is the application of statistical techniques to estimate, test, and forecast economic relationships. It represents the set of tools that economists primarily use to understand economic relationships. This course builds on the principles of statistical inferences from BA 350 and emphasizes on understanding the techniques and on how to infer the results in terms of the economic problem being studied. Successful completion of this course should allow you to (1) read much of the professional empirical literature in economics and (2) be prepared to start doing independent research using economic data.
Required Textbook
Jeffery M. Wooldridge. Introductory Econometrics: A Modern Approach.
Course Outline
- Review of basic mathematical tools (Wooldridge Appendix A)
- Review of probability and statistics (Wooldridge Appendices B and C)
- Introduction to Econometrics (Wooldridge Chapter 1)
- Simple Regression Model (Wooldridge Chapter 2)
- Multiple Regression Analysis: Estimation (Wooldridge Chapter 3)
- Multiple Regression Analysis: Inference (Wooldridge Chapter 4)
- Multiple Regression Analysis: Further Issues (Wooldridge Chapter 6)
- Multiple Regression Analysis with Qualitative Information (Wooldridge Chapter 7)
- Heteroskedasticity (Wooldridge Chapter 8)
- More on Specification and Data Issues (Wooldridge Chapter 9)
- Introduction to Time Series Regression (if we have time)