Basic Econometrics - Unbiasedness and consistency of OLS
This video is part of an online module for my course Basic Econometric at University of Gothenburg, Sweden. In this video, I remind you that estimators are computed on random samples and are therefore interpreted as a random variable. I explain how to investigate the randomness of the estimator using a simulation experiment. We discuss two properties of the OLS estimator: unbiasedness and consistency.

▶︎
Basic Econometrics - The variance of the OLS estimator

▶︎
ECO375F - 1.0 - Derivation of the OLS Estimator

▶︎
OLS Asymptotics

▶︎
Basic Econometrics - The distribution of the OLS estimator

▶︎
Unbiasedness and consistency

▶︎
Unbiasedness and Consistency in 2021 | Unbiased vs Consistency | Statistics Tutor

▶︎
Chapter 6.1 OLS assumptions

▶︎
Proving consistency of the OLS estimator

▶︎
How To Think SO CLEARLY People Assume You're A Genius

▶︎
Train Your Brain to Never Forget (5 Feynman Habits)

▶︎
Unbiased Estimators (Why n-1 ???) : Data Science Basics

▶︎
Judge Can’t Stop Laughing At Sovereign Citizen’s Courtroom Meltdown!!!

▶︎
Variance and Standard Error of OLS Estimates | Introductory Econometrics 11

▶︎
ECO375F - 5.1 - Definition of consistency

▶︎
Linear Econometrics: Asymptotic Efficiency

▶︎
ECO375F - 2.3 - Unbiasedness of the Slope Estimator (β1)

▶︎
What is Econometrics?

▶︎
Introduction To Ordinary Least Squares With Examples

▶︎
3.3a The Expected Value of OLS estimators

▶︎
