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# MGT 700 Econometrics
- URL: https://fsc.stevens.edu/mgt-700/
- Published: 2021-06-07T14:41:16.000Z
- Updated: 2026-05-16T22:39:50.000Z
- Author: Akshat Goel
- Tags: Courses, #Import 2024-05-30 10:26, #Import 2025-11-08 22:14

Course Catalog Description

# Introduction

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      |        |

  
Instructors

| Professor                                                            | Email             | Office |
| -------------------------------------------------------------------- | ----------------- | ------ |
| [Pallavi Pal](https://faculty.stevens.edu/ppal2?ref=fsc.stevens.edu) | ppal2@stevens.edu |        |

  
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

# Textbook

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

  
Grading

# Grading Policies

|   |                      | Weights |
| - | -------------------- | ------- |
| 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                                              |         |