Regression Discontinuity Design and Instrumental Variables

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Mimic experiments with the data you already have and measure the effects of treatment even with incomplete data.

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A goal of many analytics projects is to answer “how much did factor x affect the outcome?”, otherwise known as the treatment effect. But it can be very hard to do that with real data because it’s often incomplete. This course will introduce you to two techniques to fix that problem: Regression Discontinuity Design and Instrumental Variables.

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    Regression Discontinuity Design and Instrumental Variables
    Regression Discontinuity Design and Instrumental Variables

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