This course is focused on a special kind of regression that can help with making more accurate financial analyses. A common issue when dealing with large data sets is that multiple variables are changing at the same time and some of those variables are unobservable. To deal with this, a technique called a fixed effects regression needs to be used. The focus of this module is on applying fixed effects regressions in the context of business.
***Please download and open all supporting materials before starting the course videos.***
Prerequisites
Viewers should be familiar with basic financial and accounting concepts.
In addition, viewers should be familiar with Big Data and Business Intelligence, or review my existing courses on the topic.
Learning Objective
- Discover what a fixed effects (FE) regression is
- Identify when a FE regression is needed
- Explore how to use a FE regression
- Recognize how to interpret output from a FE regression
Last updated/reviewed: March 10, 2024
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INTRODUCTION AND OVERVIEW
- Introduction and Module 1: Where do we use FE? 9:16
- Module 2: Correcting Models With FE 8:13
- Module 3: Limitations of FE 4:04
- Module 4: FE in Action 9:35
- Module 4: FE in Action Continued.. 11:06
- Module 5: Difference in Differences 8:55
CONTINUOUS PLAY
SUPPORTING MATERIALS
- Slides: Advanced Analytics – Fixed Effects Regressions PDF
- Advanced Analytics – Fixed Effects Regressions Glossary/Index PDF
REVIEW AND TEST
- REVIEW QUESTIONS quiz
- FINAL EXAM exam
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