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Regression Discontinuity Design and Instrumental Variables

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Overview

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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.

Syllabus

  • Regression Discontinuity Design and Instrumental Variables: Learn about regression discontinuity design and instrumental variables for causal inference.
    • Lesson: Regression Discontinuity Design
    • Quiz: RDD and IV Quiz
    • Project: Effect of Emergency Weather Systems on Transit Times
    • Lesson: Instrumental Variables
    • Article: Next Steps

Taught by

Kenny Lin

Reviews

4.3 rating at Codecademy based on 9 ratings

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