Panel Data Analysis with R

提供方
Coursera Project Network
在此指导 项目中,您将:

L​earn about Panel Data

C​reate OLS, Fixed Effects and Random Effects models

L​earn to conduct diagnostic tests for Panel Data

Clock2.5 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

Panel Data AnalysisOLSEconometric ModellingFixed Effects ModelRandom Effects Model

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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