Method of moments and generalised method of moments - basic introduction

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  • Опубліковано 15 жов 2024
  • Provides an introduction to Method of Moments (MM) and Generalised Method of Moments (GMM) estimators.
    If you are interested in seeing more of the material, arranged into a playlist, please visit: • Graduate econometrics
    . Also, check out: ben-lambert.co... for course materials, and information regarding updates on the econometrics courses. For more information on econometrics and Bayesian statistics, see: ben-lambert.com/

КОМЕНТАРІ • 29

  • @dudeB15
    @dudeB15 4 роки тому +12

    Ben Lambert you are seriously the gold standard in teaching

  • @luistato7437
    @luistato7437 3 роки тому +2

    Good old Ben Lambert. Oxford think they can hide my guy Ben by publishing their lectures on Ox educ, but they're wrong. We know. This Ben Lambert, this not Ox educ. Keep doing your thing Ben, we are all deeply in love with you and you have single handedly graduated more people than lots of universities

  • @z.kuwait5277
    @z.kuwait5277 Рік тому

    Ben, I'm watching your videos this year and I'm super super grateful for your videos! Idk what I'd do in my econometrics course this semester without you!

  • @danee593
    @danee593 4 роки тому

    Ben Lambert you are a god!

  • @finbarrseanodonoghue3817
    @finbarrseanodonoghue3817 9 років тому +2

    Very clear, concise introduction!

  • @johnzhang6612
    @johnzhang6612 7 років тому +1

    Thank you! Best explanation I have ever seen!

  • @vipulsharma3751
    @vipulsharma3751 5 років тому +3

    Loved it, it helped!! Thanks for the content

  • @andrewncube283
    @andrewncube283 4 роки тому

    Thank you for the lesson. If I may ask which software did you use here?

  • @nstar0203
    @nstar0203 7 років тому +1

    Thanks, really helpful and clear explanations.

  • @rakotondrazakatojoherilant6403
    @rakotondrazakatojoherilant6403 4 роки тому +1

    Why the third equation of population moment condition got 3 times sigma square?

  • @007CXY
    @007CXY 6 років тому

    Very clear explanation (love the accent)

  • @zahrariaz8276
    @zahrariaz8276 7 років тому

    your video is very helpful. Thank you.
    kindly make a video on probability weighted moments.

  • @JulianS-r2t
    @JulianS-r2t 8 років тому

    1:01-1:04 of video. What is a Sample precisly? Where or how we might get it?

  • @scLightO
    @scLightO 7 років тому

    Nice explanation!

  • @kevinaud6461
    @kevinaud6461 7 років тому +11

    Great video, thanks! Your sigmas look so much like 6s though...

    • @williamgruben2172
      @williamgruben2172 5 років тому

      A lower case sigma looks like a 6. And upper case sigma looks like a sideways M

    • @lckite9823
      @lckite9823 4 роки тому

      william gruben not really like a six. Look at them: σ, 6. Big difference

  • @punkntded
    @punkntded 6 років тому

    Why would we need more than two moment equations?

    • @juamocoustic
      @juamocoustic 5 років тому +2

      If you have more information about your population, incorporating this information into your estimate increases the efficiency. It'd be a shame to waste information that you have about the population, hence you use the GMM if you have more MCS available.

  • @davisvance
    @davisvance 6 років тому

    why is the expected value of x^2 = sigma^2 + mu^2?

    • @ArielSasson
      @ArielSasson 5 років тому +4

      sigma^2 = V(X) = E(X^2)- E(X)^2. so E(X^2) = sigma^2 + E(X)^2 = sigma^2 + mu^2

  • @victorvhikto8835
    @victorvhikto8835 7 років тому

    thanks....really works

  • @edwardraywer4198
    @edwardraywer4198 6 років тому

    Thanks...

  • @nthurn123
    @nthurn123 7 років тому +1

    didnt know sigma = 6