Free
CourseRegression Discontinuity Design and Instrumental Variables
Mimic experiments with the data you already have and measure the effects of treatment even with incomplete data.
This course includes
This course includes
Skill level
AdvancedTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary2 hoursProjects
1Prerequisites
None
About this course
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.
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