Eviews Basics Importing And Estimating Data

Estimation Using Eviews

Last updated 2022-01-10 | 4.1

- Types of Data in Econometrics
- How to download Data from World Development Indicators (WDI)
- Importing Time Series Data in Eviews

What you'll learn

Types of Data in Econometrics
How to download Data from World Development Indicators (WDI)
Importing Time Series Data in Eviews
Importing Cross Sectional Data in Eviews
Importing Panel Data in Eviews
Estimation and Interpretation of Ordinary Least Squares (OLS)
Some Assumptions of CLRM
How to Detect and Remove Auto-Correlation (Serial Correlation)
Heteroskedasticity (Detection and Removal)
Normality (Jorque Bera test)
Students should expect some quizzes and an Assignment at the end of course

* Requirements

* Students Should have some knowledge of Economics Or Econometrics Or Statistics Or Finance

Description

  • Types of Data in Econometrics
  • How to download Data from World Development Indicators (WDI)
  • Importing Time Series Data in Eviews
  • Importing Cross Sectional Data in Eviews
  • Importing Panel Data in Eviews
  • Estimation and Interpretation of Ordinary Least Squares (OLS)
  • Some Assumptions of CLRM
  • How to Detect and Remove Auto-Correlation (Serial Correlation)
  • Heteroskedasticity (Detection and Removal)
  • Normality (Jorque Bera test)
  • Students should expect some quizzes and an Assignment at the end of course

Course content

5 sections • 14 lectures

Introduction Preview 01:51

In this Video Course content is discussed.

Types of Data Preview 03:07

How to download Data from WDI Preview 06:31

Data Types

How to Import Time series Data in Eviews Preview 09:13

How to Import Cross-Sectional Data in Eviews Preview 07:14

How to Import Panel Data in Eviews Preview 06:53

Estimating and Interpreting Ordinary Least Squares Preview 13:53

Assumptions Of CLRM Preview 04:36

You can buy these books just by clicking on any one of the below link

Basic Econometrics by Gujrati: https://amzn.to/3fgqjyH

Econometric Analysis By William Greene: https://amzn.to/3eDCNRG

OLS Overview

How to detect and remove Auto-Correlation Preview 05:56

This is one method which sometimes doesn't work. The second method is to increase the relevant variables or to decrease irrelevant variables or both.

How to detect and remove Heteroskedaticity Preview 05:44

Normality Test Preview 06:36

data estimation

In this assignment you will apply almost everything which you have learned in this course