These videos are discussing the initial basics econometrics course. Simple linear regression model is given by Yi = β1 + β2Xi + ui where ui~N(0,σ2). Here, we set out different assumptions of classical linear regression model.
Two main (and excellent) references for this course are :
Basic Econometrics by D. Gujarati
Introductory Econometrics with Applications by Ramu Ramanathan
I hope you like these videos..
Intuition of Econometrics Part 1
Intuition of Econometrics Part 2
Model is linear in parameters
X values are fixed in repeated sampling
Error term has zero mean
No Hetroscedasticity
No Autocorrelation
No correlation between X’s and u
Variability in X’s and No Prefect Multicollinearity
