Skip to main content
NounStudy
Back to Course Catalog
ECO355Social Sciences3 Unitsintermediate

Introduction to Econometrics

This course is an introductory course on Econometrics. It covers topics including econometrics analysis, single-equation (regression models), Normal linear regression model, and practical aspects of statistics testing. The course aims to provide an in-depth understanding of econometrics, familiarize students with regression models, stimulate knowledge on linear regression, and expose students to rudimentary analysis of simple and multiple regression analysis.

Generate AI Study Notes

Transform this course into personalized study materials with AI

200h
Study Time
13
Weeks
15h
Per Week
intermediate
Math Level
Course Keywords
EconometricsRegression ModelsLinear RegressionHypothesis TestingStatistical Analysis

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📊
Math Level
Moderate Math
📖
Learning Type
Theoretical Focus

Course Topics

Key areas covered in this course

1

Econometrics

2

Regression Analysis

3

Ordinary Least Squares

4

Hypothesis Testing

5

Statistical Inference

6

Econometric Models

Total Topics6 topics

Requirements

Knowledge and skills recommended for success

Introductory Statistics

Basic Economics

Calculus

💡 Don't have all requirements? Don't worry! Many students successfully complete this course with basic preparation and dedication.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Econometrician

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Financial Analyst

Apply your skills in this growing field

Economic Modeler

Apply your skills in this growing field

Statistician

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

FinanceEconomicsGovernmentConsultingResearch

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

MODULE ONE ECONOMETRICS ANALYSIS

8h

Unit 1: Meaning Of Econometrics

4 study hours
  • •Define econometrics
  • •Explain the difference between econometrics and statistics
  • •Discuss the role of econometrics in economic analysis

Unit 2: Methodology of Econometrics

4 study hours
  • •Describe the steps involved in econometrics methodology
  • •Explain the use of mathematical and statistical analysis in solving economic problems
Week
2

MODULE ONE ECONOMETRICS ANALYSIS

8h

Unit 3: Computer and Econometrics

4 study hours
  • •Discuss the role of computers in economic analysis and forecasting
  • •Identify and explain different types of econometrics analysis

Unit 4: Basic Econometrics Models: Linear Regression

4 study hours
  • •Understand basic econometrics models
  • •Differentiate between econometrics theory and methods
Week
3

MODULE ONE ECONOMETRICS ANALYSIS

4h

Unit 5: Importance of Econometrics

4 study hours
  • •Explain the importance of econometrics within economics
  • •Describe how to use econometrics for assessing economic models
Week
4

MODULE TWO SINGLE- EQUATION (REGRESSION MODELS)

8h

Unit One: Regression Analysis

4 study hours
  • •Examine the linear regression model
  • •Understand the classical linear regression model

Unit Two: The Ordinary Least Square (OLS) Method Estimation

4 study hours
  • •Differentiate between dependent and independent variables
  • •Understand the Ordinary Least Square (OLS) Method Estimation
Week
5

MODULE TWO SINGLE- EQUATION (REGRESSION MODELS)

8h

Unit Three: Calculation of Parameter and the Assumption of Classical Least Regression Method (CLRM)

8 study hours
  • •Calculate parameters and understand the assumptions of the Classical Least Regression Method (CLRM)
Week
6

MODULE TWO SINGLE- EQUATION (REGRESSION MODELS)

8h

Unit Four: Properties of the Ordinary Least Square Estimators

8 study hours
  • •Know the properties that our estimators should have
  • •Understand the proofing of the OLS estimators as the best linear unbiased estimators (BLUE)
Week
7

MODULE TWO SINGLE- EQUATION (REGRESSION MODELS)

8h

Unit Five: The Coefficient of Determination (R2 ): A measure of ―Goodness of fit‖

8 study hours
  • •Examine the Goodness fit
  • •Understand and work through the calculation of coefficient of multiple determination
Week
8

MODULE THREE NORMAL LINEAR REGRESSION MODEL (CNLRM)

8h

Unit One: Classical Normal Linear Regression Model

8 study hours
  • •Identify and know how to calculate the probability normality assumption for Ui
  • •Understand the normality assumption for Ui
Week
9

MODULE THREE NORMAL LINEAR REGRESSION MODEL (CNLRM)

8h

Unit Two: OLS Estimators Under The Normality Assumption

8 study hours
  • •Understand why we have to conduct the normality assumption
  • •Identify the properties of OLS estimators under the normality assumption
Week
10

MODULE THREE NORMAL LINEAR REGRESSION MODEL (CNLRM)

8h

Unit Three: The Method Of Maximum Likelihood (ML)

8 study hours
  • •Understand what is probability distribution
  • •Understand the meaning of Maximum Likelihood Estimation of two variable regression Model
Week
11

MODULE THREE NORMAL LINEAR REGRESSION MODEL (CNLRM)

8h

Unit Four: Confidence intervals for Regression Coefficients

8 study hours
  • •Understand the meaning of Hypothesis
  • •Know how to calculate hypothesis using confidence interval analyse and interpret hypothesis result
Week
12

MODULE THREE NORMAL LINEAR REGRESSION MODEL (CNLRM)

8h

Unit Five: Hypothesis Testing

8 study hours
  • •Understand the meaning of accepting and rejecting an hypothesis identify a null and alternative hypothesis
  • •Understand the meaning of Level of significance
Week
13

MODULE FOUR PRACTICAL ASPECTS OF ECONOMETRICS TEST

8h

Unit Three: Regression Analysis and Analysis of Variance

4 study hours
  • •Understand the meaning of regression analysis and variance
  • •Know how to calculate the regression analysis and analysis of variance

Unit Four: Normality tests

4 study hours
  • •Understand Normality tests

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

Access PDF Material

Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all units and focus on key concepts

2

Practice solving econometrics problems

3

Understand the assumptions of different models

4

Study statistical tables and distributions

5

Practice hypothesis testing and interpreting results

Related Courses

Other courses in Social Sciences that complement your learning

DES314

Project Management, Monitoring And Evaluation

2 Units
ECO311

Research Methodology

3 Units
INR342

International Relations In Southern Africa

2 Units
View All Social Sciences Courses