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

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  • Опубліковано 24 чер 2013
  • This video provides a derivation of the form of ordinary least squares estimators, using the matrix notation of econometrics. Check out ben-lambert.com/econometrics-... for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: ben-lambert.com/bayesian/ Accompanying this series, there will be a book: www.amazon.co.uk/gp/product/1...
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КОМЕНТАРІ • 29

  • @mosuave3804
    @mosuave3804 6 місяців тому +1

    This whole channel has saved my degree. Thank you very much Ben.

  • @jgenert
    @jgenert Рік тому +2

    Really appreciating the course. Thank you for sharing your deep knowledge of econometrics.

  • @ronzo0
    @ronzo0 8 років тому +3

    Thanks so much! :D The matrix derivation of OLS has been annoying me for the past few weeks, but this video really clears it up

  • @georgeikennaewah-uche4477
    @georgeikennaewah-uche4477 8 років тому +4

    Thank you so much! My lecturer only explains her econometrics with matrices and I was lost as I only knew the summation form. I am very grateful for this.

  • @Majagarbulinska
    @Majagarbulinska 7 років тому +3

    this is extremely helpful. thank you Ben

    • @stochasticdifferentialeq.1393
      @stochasticdifferentialeq.1393 2 роки тому

      Hi
      I am a PhD Economics Student. Our instructor for first PhD econometric course have us watch these videos as a class requirement tasks.

  • @3foss191
    @3foss191 8 років тому +9

    Ahahaha, only you has all the reponses to my econometric's question. I'm addicted to your smart videos. thks a lot

  • @souvikbag3264
    @souvikbag3264 3 роки тому

    great video, thanks

  • @kanboify
    @kanboify 9 років тому

    it is a fantastic video !!!!

  • @vaibhavsingh1049
    @vaibhavsingh1049 4 роки тому

    Thank You.

  • @daweili9843
    @daweili9843 9 років тому

    though demands some elementary backgrounds for viewers your explanation is great!

  • @achilleasmanousakis4622
    @achilleasmanousakis4622 8 років тому

    thank you!

  • @dhawals9176
    @dhawals9176 5 місяців тому

    great lecture. Off topic. What is the setup you use to write on the screen?

  • @carlosp4250
    @carlosp4250 8 років тому +1

    Videaso gracias!

  • @endrity
    @endrity 11 років тому

    Nice vids mate!

  • @chandnibhudia624
    @chandnibhudia624 10 років тому +4

    thank you soooooooooooooooooo much!!! i dont suppose you have any videos on the neyman pearson lemma??
    kind regards

    • @SpartacanUsuals
      @SpartacanUsuals  10 років тому +2

      Hi, thanks for your message and kind words. I don't have any videos on that subject yet, although I have added this to my list! Best, Ben

  • @oskarg4270
    @oskarg4270 8 років тому +7

    Whats 10 times ten again?

  • @zoolander0700
    @zoolander0700 7 років тому

    You're a god

  • @-Geo-Man-
    @-Geo-Man- 9 років тому

    good job

  • @lilizhang9440
    @lilizhang9440 4 роки тому +2

    so whats the estimation of alpha hat?

  • @ericw2859
    @ericw2859 2 роки тому

    life saver

  • @abubakarqahwe8754
    @abubakarqahwe8754 3 роки тому +1

    where is alpha when you creating this new formula y=xb+u

  • @robenwu620
    @robenwu620 7 років тому

    why it is so named "ordinary"?

  • @vinuthomas2814
    @vinuthomas2814 3 роки тому

    Why is it that there is no matrix equivalent for the alpha portion of the original equation?

    • @abubakarqahwe8754
      @abubakarqahwe8754 3 роки тому

      yes even me I confused that

    • @rakoonberry7879
      @rakoonberry7879 3 роки тому +2

      There is. The first column of X is full of 1s and the first number in the β-vector is the alpha.

  • @Max-cs1dn
    @Max-cs1dn 5 років тому +1

    Beta hat? Pizzahut.