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Learner Reviews & Feedback for Panel Data Analysis with R by Coursera Project Network

4.5
stars
20 ratings

About the Course

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....
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1 - 7 of 7 Reviews for Panel Data Analysis with R

By Киселева К К

Nov 22, 2021

I used Python and prefered to stick with general OLS models for panel data with some correction for heteroscedasticity (to be honest most of the time I work with logit models). I wanted to extend my skills since panel data is the most popular format in banking and finance where I work. I am really new to R but the lecturer explains everything so well I didn't even need additional info or help during the project. Would recommend it to all my colleagues!

By Laura F A

Dec 6, 2022

I think it's very useful if you want to apply this kind of models. I recommend to do it.

By Nikos B

Dec 26, 2023

Perfect concise minicourse in Panel Data Econometrics.

By Peter K

Mar 19, 2023

Easy to follow and with great content :)

By Arturo B

Jun 25, 2021

Thank you su much Dr. Saha!!

By Sebastián K

Nov 22, 2021

Es en ingles pero se entiende perfectamente y es muy claro aunque esperaba mas contenido

By Pravin S

Jan 7, 2024

she just gives which functions are to be used in R. creates no fundamental understanding of what fixed effets or random effects are. all the project contents can be found for free elsewhere.