Correlation or Causation? Applied Causal Reasoning in Economics
Course Description
Every day we are surrounded by claims about what causes what: from “minimum wages raise unemployment levels” to “new supplement in the market improves focus and grades.” But how do we know which of these claims are true? In a world with abundance of data, the challenge is not finding information, but correctly assessing patterns from the real world.
This course gives you the tools to do exactly that. You will learn how economists separate coincidence from real cause-and-effect using modern techniques that power today’s most influential research in the field.
Throughout the program, you will explore real-world questions, work hands-on with data, and practice methods used to evaluate everything from education policies to health interventions. The course builds toward a collaborative class paper, where you will investigate a causal question and present your findings.
By the end of this course, you will have the foundational skills beyond only understanding the difference between correlation and causation - you will know how to test it yourself. These skills will stay with you well beyond the classroom, helping you make sense of the news, analyze studies you encounter online, and succeed in future college-level coursework.
Academic Interest
Economics and Business, Examining Culture and Society, Social Sciences (e.g., history, psychology, sociology)
Application Materials
A complete application includes a transcript, two short essays, a letter of recommendation, writing sample, application fee, and a submitted parent confirmation. If you are seeking need-based financial aid, you must indicate that in your application before it is submitted. Please refer to the Application Instructions for complete details.
Instructor(s)
Murilo Ramos
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