Average Treatment Effects: Causal Inference Bootcamp

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  • Опубліковано 2 гру 2024

КОМЕНТАРІ • 9

  • @rhydaleghan2549
    @rhydaleghan2549 Рік тому +1

    simple but great illustration on the subject matter

  • @arijitdey3112
    @arijitdey3112 Рік тому +2

    Are you not contradicting yourself bt saying first "We fundamentally can't learn unit level causal effect" at 1:20 and secondly, after introducing ATE, by saying "take everybody in your population and you look at their unit level causal effect" at 2:20?

    • @AmanSingh-xk2lv
      @AmanSingh-xk2lv 8 місяців тому

      I caught that too. My guess is:
      that's the theoretical definition. But in real life, we estimate it by taking the sample mean for the treatment group and the sample mean for control, And then a difference between those.

  • @bradconstant3778
    @bradconstant3778 4 роки тому +1

    Nice explanation, thanks for putting it together

  • @keynesianecon2917
    @keynesianecon2917 5 років тому +1

    Thank you for the video. Could you provide references (i.e. empirical papers or textbooks) for the theoretical part?

  • @pop_x3
    @pop_x3 4 роки тому

    super helpful & easy to understand

  • @mateusbringel
    @mateusbringel 3 роки тому

    Note that, when your outcome is lethality, you can have the opposite. Negative is the protective factor.

  • @joshuaellis7121
    @joshuaellis7121 8 років тому +2

    This is so friggen useful. Thanks!

  • @kanchanpathak3555
    @kanchanpathak3555 4 роки тому

    Very well explained