Least Squares Estimators as BLUE

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  1. Ben Lambert
  2. Least Squares
  3. Estimator
  4. econometrics
  5. Gauss-Markov
  6. regression analysis
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Least Squares Estimators as BLUE

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BLUE Estimates 0:03:31

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Deriving the least 0:12:13

Deriving the least squares estimators of the slope and intercept (simple linear regression)

What is Least 0:02:43

What is Least Squares?

Gauss-Markov assumptions part 0:05:22

Gauss-Markov assumptions part 1

Find the Value 0:08:56

Find the Value of OLS estimators Linear Regression Model | Mathematical Economics | Ecoholics

ECO375F - 1.0 0:32:03

ECO375F - 1.0 - Derivation of the OLS Estimator

Least Squares Estimators 0:04:52

Least Squares Estimators - in summary

Least Squares as 0:03:28

Least Squares as an unbiased estimator - matrix formulation

Linearity of OLS 0:08:05

Linearity of OLS estimators | Unbiasedness of OLS estimators | Econometrics | Ecoholics

Proof ols estimator 0:14:38

Proof ols estimator is unbiased

Ordinary Least Squares 0:02:10

Ordinary Least Squares regression or Linear regression

Ordinary Least Squares 0:07:30

Ordinary Least Squares Estimators - derivation in matrix form - part 1

Chapter 6.1 OLS 0:06:32

Chapter 6.1 OLS assumptions

Properties of Ordinary 0:06:22

Properties of Ordinary least square Estimator | BLUE | Best Linear Unbiased efficient Estimator

Introduction to residuals 0:07:39

Introduction to residuals and least squares regression

GAUSS MARKOV THEOREM 0:13:39

GAUSS MARKOV THEOREM | BLUE| PROPERTIES OF ESTIMATORS| ECONOMETRICS FOR NTA NET ECONOMICS| JRF 2021|

Least squares approximation 0:15:32

Least squares approximation | Linear Algebra | Khan Academy

Generalised least squares 0:07:49

Generalised least squares (very basic introduction)

Deriving the OLS 0:16:23

Deriving the OLS Estimators in Simple Linear Regression Model - Part 1

Linear Regression Using 0:15:05

Linear Regression Using Least Squares Method - Line of Best Fit Equation

GAUSS MARKOV 0:02:55

GAUSS MARKOV THEOREM - PART 1: INTRODUCTION

Best Linear Unbiased 0:06:24

Best Linear Unbiased Estimators (BLUE) | Gauss Markov Theorem | Econometrics | Dr. Atman Shah | SXCA

Комментарии
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Thanks for sacrificing your time to teach the world. I like your videos

wanziganga
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Excellent videos.I really don't know how to thank you.I am a masters student of Health economics and your videos really taught me the reason behind a lot of things. Thanks a lot. I will try to watch all the 200 videos:)

abokbeer
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Every time I learn these topics, I pray all the very best for you. Thank you so much! No one explains econometrics as well as you do.

dilinijayasinghe
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thank you good sir youre a legend. much better than my professor.

ZigguDower
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Thank you so much for the videos.
Can you also suggest me a book I could follow up along the videos?

vargheesjohn
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Buddy, great job but 2:22 is so confusing...

szpacur
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How do you know if estimator is consistent? If n increases, and it approaches X, it is consistent. But who can do that in practice?

brianclark
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@Ben Lambert - if we assume that ß0 = 0 (false assumption), will this change our other estimators to be biased?

GreenSpreader
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I'm a big fan of your videos, BUT for the next 3 videos, which are a bit of a chore to work through, it would be great if you could explain *why* it is necessary to learn the derivation of the OLS estimator. Thank you Ben! :)

pjakobsen
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In general I like your videos. But in my opinion you go to quickly through the difficult staff (i.e. derivations) and you concentrate too much on easy stuff (for example unbiasdness)

Marta
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hey man thanks for saying what "linear" means...watched the whole video wanting you to explain it and you completely swept it under the rug and wasted 7 minutes of my life 

ekiiiim