**Course Description:**

This course will introduce basic theoretical and applied econometric techniques. Economic applications will be emphasized through computer based exercises and lab sessions.

**Course Literature:**

**Required Textbook:****Suggested Textbooks:**

- Wooldridge (2012)
- Gujarati (2003) and Davidson and MacKinnon (2004)

Although the material covered in class is of primary interest, you are strongly encouraged to partake in self-study from the resources suggested. It is also imperative to do as many problems from the textbooks as you possibly can! The only way you will succeed in this course is if you attend lectures regularly and solve many practice problems!

**Course Software:**

Homework assignments may require the use of statistical software. The typical software of choice at this level is EViews, STATA, R, Matlab, etc. Although lab sessions will make use of EViews, you are of course more than welcome to use any software of your choosing. Data files required for homework and lab sessions will be made available on the course website.

**Course Outline:**

- Introduction (Simple Regression Model)
- Multiple Regression Model (Estimation and Properties)
- Inference and Hypothesis Testing
- OLS Asymptotics
- Empirical Issues and Prediction
- Regression with Qualitative Data

- Heteroskedasticity
- Data Issues
- Basic Regression Analysis with Time Series Data
- Serial Correlation and Heteroskedasticity in Time Series Regressions
- Insturmental Variables and 2SLS

**Grading:**

**Lab/Class Participation:****Assignments/Quizzes:****Midterm:****Final Exam:**

- 10%
- 20%
- 30%
- 40%

**Course Syllabus**

- Syllabus