Panel Data Analysis with R

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Panel Data Analysis with R provided by Coursera is a comprehensive online course, which lasts for 2-3 hours worth of material. Panel Data Analysis with R is taught by Barsha Saha. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • 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.