IIRF Online > Finance & Accounting > Economics > Econometrics > Explaining the Core Theories of Econometrics
Explaining the Core Theories of Econometrics by Udemy
This is an introductory College level econometrics course. Ideal for students who want to learn in a more intuitive way.
Course Highlights
- Learn the intuition behind the math, giving you a foundation to understand your university's econometrics material.
- Linear Regression, OLS & Gauss Markov
- Hypothesis testing including RSS method and Wald method
- When Gauss-Markov assumptions don't hold including multicollinearity and heteroskedasticity
Skills you will learn!
Curriculum
12 Topics
Using mathematics to get a straight line of best fit
Intuition of Hypothesis Testing & OLS Formula Part A
Intuition of Hypothesis Testing & OLS Formula Part B
Estimator Bias
Causes of Bias
Estimator Variance
OLS Decomposition Derivation
OLS Estimators are Unbiased Part A
OLS Estimators are Unbiased Part B
Gauss Markov Theorem & Assumptions Part A
Gauss Markov Theorem & Assumptions Part B
OLS Estimator Variance
5 Topics
Matrix Notation Part A
Matrix Notation Part B
Gauss-Markov Assumptions
OLS is Unbiased
OLS Estimator Variance
5 Topics
Intuition of the Two Methods for Hypothesis Testing
Notation
RSS Method
Wald Method
Single Linear Restriction
6 Topics
Variable Misspecification Introduction
Variable Misspecification Matrix Notation
Variable Misspecification: Exclusion of a Relevant Variable
Variable Misspecifcation: Inclusion of an Irrelevant Variable
Multicollinearity
Heteroskedasticity
1 Topic
Concluding comments
Explaining the Core Theories of Econometrics
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