Introduction to Econometrics

Introduction to Econometrics, available at $29.99, has an average rating of 3.63, with 6 lectures, based on 8 reviews, and has 412 subscribers.

You will learn about Nature & Scope of Econometrics Introduction to Statistics – Univariate & Bivariate Distributions Classical Linear Regression Model, Multiple Linear Regression Model & Probability Distributions Violations of CLRM – Heteroscedasticity, Multicollinearity & Autocorrelation, Specification Analysis This course is ideal for individuals who are BA (HONS) ECONOMICS, BCOM(HONS), BBE, BA, BCOM – Introductory Microeconomics. or Students willing to learn Econometrics It is particularly useful for BA (HONS) ECONOMICS, BCOM(HONS), BBE, BA, BCOM – Introductory Microeconomics. or Students willing to learn Econometrics.

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Summary

Title: Introduction to Econometrics

Price: $29.99

Average Rating: 3.63

Number of Lectures: 6

Number of Published Lectures: 6

Number of Curriculum Items: 6

Number of Published Curriculum Objects: 6

Original Price: ₹2,999

Quality Status: approved

Status: Live

What You Will Learn

Nature & Scope of Econometrics
Introduction to Statistics – Univariate & Bivariate Distributions
Classical Linear Regression Model, Multiple Linear Regression Model & Probability Distributions
Violations of CLRM – Heteroscedasticity, Multicollinearity & Autocorrelation, Specification Analysis

Who Should Attend

BA (HONS) ECONOMICS, BCOM(HONS), BBE, BA, BCOM – Introductory Microeconomics.
Students willing to learn Econometrics

Target Audiences

BA (HONS) ECONOMICS, BCOM(HONS), BBE, BA, BCOM – Introductory Microeconomics.
Students willing to learn Econometrics

A comprehensive study on ‘Introductory Econometrics’ is designed keeping in mind the Principles of Econometrics as part of syllabus covered for high school undergraduates at central universities in different parts of the world. At ‘The Saviour Academy’, we welcome you all to learn such a platform wherein we’ll be focusing upon the most important concepts from the examination perspective used under ‘Introductory Econometrics’ such as “Review of Statistics”, “Classical Linear Regression Model (CLRM)”, “Multiple l Linear Regression Model (MLRM)”, “Heteroscadasticity”,”Autocorrelation” as well as “Multicollinearity” like its “Causes & Consequences”, “Durbin-Watson Test”, “White’s Test”, “OLS Methods of Least Squares” and “Specification Analyses” with the help of technical tools, educational software and indeed with a lot of self-explanatory diagrams in a three-dimensional platform and then we say it had revolutionized the method of smart classes very well.

Econometrics is the application of statistical methods to economic data in order to give empirical content to economic relationships. More precisely, it is “the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference”. A basic tool for econometrics is the multiple linear regression model. Econometric theory uses statistical theory and mathematical statistics to evaluate and develop econometric methods. Econometricians try to find estimators that have desirable statistical properties including unbiasedness, efficiency, and consistency.

Course Curriculum

Chapter 1: Introduction

Lecture 1: AN INTRODUCTION TO ECONOMETRICS

Chapter 2: Review of Statistics

Lecture 1: DESCRIPTIVE STATISTICS, RANDOM VARIABLES & PROBABILTY DENSITY FUNCTIONS

Chapter 3: Classical Linear Regression Model

Lecture 1: 3. CLASSICAL LINEAR REGRESSION MODEL – AN INTRODUCTION

Chapter 4: Multiple Regression

Lecture 1: MULTIPLE REGRESSION – AN INTRODUCTION

Chapter 5: Violations of Classical Assumptions

Lecture 1: 5.VIOLATIONS OF CLASSICAL ASSUMPTIONS

Chapter 6: Dummy Variables & Specification Analysis

Lecture 1: 6.DUMMY VARIABLES

Instructors

Inderpreet Singh, Entrepreneur & Academician
ENTREPRENUER | LECTURER | BUSINESS CONSULTANT

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 1 votes
5 stars: 4 votes

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