Easy Econometrics Practical Econometrics

Learn all the concepts and practices to perform a regression analysis

Last updated 2022-01-10 | 4.3

- Econometrics definition and basics
- Practical Regression Analysis with Eviews
- Regression diagnosis with Eviews

What you'll learn

Econometrics definition and basics
Practical Regression Analysis with Eviews
Regression diagnosis with Eviews

* Requirements

* Basic knowledge of statistics is preferred but not necessary

Description

As we all know regression analysis is a very common analysis in researches and understanding how to do it, is very necessary for every college and university student. This is a complete conceptual and practical econometrics course on udemy. Students will understand basics of econometrics such as what each component means and how they contribute to a successful econometrics analysis. Moreover, students will get familiar with formulas of calculating OLS using excel and later how they can perform regressions more easily using Eviews (statistical software). Some of the common problems during regression analysis are explained and remedies were purposed.

After taking this course your will be able to perform regression analysis for your research projects and you will get familiar on how to use Eviews software for statistical analysis.

Course has divided in to 3 main sections as follow:

1- Basics

Here you will learn all the basics of statistical analysis such as measurements of scale, type of variables and …

2- OLS

In this section you will understand what OLS is and why it is the best linear estimator, theories are explained in a very easy and understandable manner. Other components such as R squared, error term and … discussed

3- OLS diagnosis

Common problems which are arising during a regression analysis has been discussed and practically diagnosed using Eviews(statistical software).

A bonus lecture and some other benefits such as how to use Eviews you will get by using this course

For any questions you can post it in the Q/A section and we will try best to respond to it in 24 hr

Who this course is for:

  • Anyone curios about data science, statistics, hypothesis testing and research writing

Course content

6 sections • 29 lectures

Section 2 learning objectives Preview 00:31

Econometrics introduction and sense-making Preview 04:10

How to do econometrics ? Preview 04:02

The step by step framework you need to follow to perform a good econometric analysis

Scales of measurements, types of variables Preview 07:00

Residuals Preview 02:07

Types of economic data Preview 03:25

Regression types Preview 03:27

Regression coefficient and partial regression coefficient Preview 03:57

Part 3 learning objectives Preview 00:36

Ordinary Least Squares An introduction Preview 04:06

Ordinary Least Squares using b1 and b0 formulas (Excel) Preview 13:34

OLS with Eviews Preview 08:39

R squared and it's formula Preview 01:48

How to calculate R squared with Excel ? Preview 03:31

R squared with Eviews Preview 02:19

Adjusted R squared Preview 01:27

How to calculate adjusted R squared with Eviews ? Preview 05:05

Graphing with Excel Preview 02:34

Gauss Markov assumptions Preview 13:01

Standard error and t-stat Preview 03:46

f-stat and properties of a good regression analysis Preview 05:42

Section 4 learning objectives Preview 00:24

Common problems during regression analysis Preview 05:19

Diagnosis in Eviews how to detect and remedy ? Preview 06:56

Conclusion Preview 01:38

Calculate using math formulas

Calculate this regression and complete the assignment

Interpret regression table

you have to interpret regression table