MGT 700 Econometrics

Course Catalog Description


Econometrics, literally “economic measurement,” is a branch of economics that attempts to quantify theoretical relationships. This course will have both theoretical and applied econometrics components. There will be a focus on using econometrics software in estimating econometrics models learned during the semester and interpreting the results.

Prerequisite: BT221 Statistics or Equivalent

Campus Fall Spring Summer
On Campus X X
Web Campus X X


Professor Email Office
Pallavi Pal

More Information

Course Outcomes

By the end of this course, the students will be able to:

  1. Understand the difference between an economic model and an econometric model
  2. Define the linear regression model based on the classical linear regression
  3. Perform ordinary least squares (OLS) estimation.
  4. Use hypothesis testing and confidence interval construction for the population parameters based on the finite sample properties of OLS estimators.
  5. Understand extensions to the linear regression model including heteroskedasticity and autocorrelation.
  6. Employ time-series regression.
  7. Understand the basic panel data methods.
  8. Be proficient in the empirical estimation of a model using statistical software.

Course Resources


  • Wooldridge, Jeffrey M. Introductory Econometrics: A modern approach


Grading Policies

1 Midterm
2 Homework
3 Econometrics project

Lecture Outline

Topic Reading
Week 1 Introduction to Econometrics
Week 2 Regression with a single regressor
Week 3 Regression with a single regressor
Week 4 Linear regression with multiple regressors
Week 5 Inference using OLS: testing restrictions
Week 6 Practical issues; violations of OLS assumption: heteroskedasticity
Week 7 Midterm Exam (during regular class time)
Week 8 Introduction to time-series models
Week 9 Dummy variable and Introduction to panel data regression
Week 10 Introduction to panel data regression
Week 11 Advance panel data topics (IV)
Week 12 Regression with a binary dependent variable
Week 13 Project Presentations
Week 14 Project Presentations