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A foundational econometrics course for learners in economics and business. It covers regression analysis, estimation, hypothesis testing, classical estimation assumptions, common regression problems, business interpretation, and forecasting.
Syllabus
- Course Introduction
- Course Overview
- 1. Introduction for Modern Economstrics
- Greetings and Learning Outcome
- 1.1. Introduction to Concepts, Econometrics and Introduction to Regression Analysis
- 1.2. Basic Concepts Simple Regression Analysis
- Video : Introduction and Concept
- Summary
- Summary : Concept of Simple Regression
- Summary : Concept of Introduction Econometrics
- Quiz : The Concepts for Regression
- Quiz : Regression in graph
- Quiz : Ordinary Least Square
- Quiz : Elasticity and Marginal Effect
- 2. Estimator for Regression Analysis
- Greetings and Learning Outcome
- 2.1. Multiple Regression Analysis
- 2.2. Testing and Hypotheses
- Video : Estimator for Regression Analysis
- Summary : Multiple Regression
- Summary : Hypotheses
- Summary : Estimator of Regression
- Quiz : Functional Form
- Quiz : Multiple Regression
- Quiz : Classical Estimation and Assumptions
- Quiz : Probability
- Quiz : Hypotheses
- 3. Problems in Classical Estimation and Assumptions
- Greetings and Learning Outcome
- 3.1. Multicollinearity
- 3.2. Normality and Heteroskedasticity
- 3.3. Serial Correlation
- Video
- Summary Multicolinearity
- Summary : Heteroskedasticity
- Summary : Serialcorellation
- Summary: Problems in Classical Estimation and Assumptions
- Quiz : Multicollinearity
- Quiz : Heteroskedasticity
- Quiz : Serial Corellation
- 4. Analysis and Forecasting
- Greetings and Learning Outcome
- 4.1. Regression Interpretation for Business
- 4.2. Forecasting
- 4.2. Forecasting
- Summary : Forecasting
- Quiz : Regression Interpretation
- Quiz : Introduction Forecasting
- Quiz : Forecasting for Business