Comprehensive Guide to Estimating Ordinary Least Squares Regression Models in Eviews | A to Z Video

How to Estimate Ordinary Least Squares in Eviews (A-Z) | Histogram | Normality Test | Video Tutorial
This video comprehensively explains how to estimate ordinary least squares regression models using the Eviews software package. It provides step-by-step guidance from model specification to interpretation of the results.
Chapter Timestamps
00:00​ Introduction
01:12 Model specification
05:04 Descriptive statistics
05:58 Multicollinearity test
06:51 Unit root test
10:20 OLS Estimation
11:40 Interpretation of results
Practical
38:35 Descriptive statistics
40:03 Multicollinearity test
41:40 Unit root test
44:05 OLS Estimation
45:44 Interpretation of results
Post estimation tests
01:06:12 Jarque-Bera Normality Test
01:06:52 Breusch-Godfrey Serial Correlation LM Test
01:08:17 Breusch-Pagan-Godfrey Heteroscedasticity Test
01:08:53 Ramsey RESET Test
For supplementary videos covering diagnostic tests to assess the assumptions and validity of your regression model, please refer to the following resources on pre-estimation and post-estimation tests:
How to Perform and Interpret Descriptive Statistics in Eviews ➤ • How to Perform and Int...
How to Check and Interpret Multicollinearity ➤ • How to Check and Inter...
Unit Root Tests in Eviews ➤ • Unit Root Tests in Eviews
How to Install and Use All Unit Root Tests Add-in in Eviews ➤ • How to Install and Use...
Ramsey Regression Equation Specification Error Test in Eviews ➤ • Ramsey Regression Equa...
Breusch-Godfrey Serial Correlation LM Test in Eviews ➤ • Breusch-Godfrey Serial...
Breusch-Pagan-Godfrey Heteroscedasticity Test in Eviews ➤ • Breusch-Pagan-Godfrey ...
Jarque-Bera Normality Test in Eviews ➤ • Jarque-Bera Normality ...
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