Panel Data Analysis with R

ofrecido por
Coursera Project Network
En este Proyecto guiado, tú:

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
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

Panel Data AnalysisOLSEconometric ModellingFixed Effects ModelRandom Effects Model

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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