Panel Data Analysis with R

Offered By
Coursera Project Network
In this Free Guided Project, you will:

L​earn about Panel Data

C​reate OLS, Fixed Effects and Random Effects models

L​earn to conduct diagnostic tests for Panel Data

Showcase this hands-on experience in an interview

Clock2.5 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 1-hour long project-based course, you will learn how to conduct Panel Data (Regression) Analysis. You will receive step-by-step instructions to analyze the 'RENTAL' dataset from 'Introductory Econometrics: A Modern Approach' by Wooldridge using R Studio. In this project, we will discuss three models namely, Ordinary Least Square (OLS), Fixed effects (FE) and Random effects (RE) in brief and check which one fits the model best. You will also learn some additional diagnostic tests which were not required for this example but are useful for other panel datasets (especially, macro panels). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Requirements

F​amiliarity with Econometrics and basic knowledge of R Studio is preferable

Skills you will develop

Panel Data AnalysisOLSEconometric ModellingFixed Effects ModelRandom Effects Model

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. I​ntroduction

  2. OLS Model

  3. Residuals, Fitted values and Test for Heteroscedasticity

  4. Fixed Effect Model

  5. Random Effect Model

  6. Some more diagnostic tests

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.