7min chapter

If/Then cover image

All Else Equal: “Disentangling Causation and Correlation” with Guido Imbens

If/Then

CHAPTER

Causation vs. Correlation: Clarifying Misconceptions

This chapter explores the critical differences between causation and correlation through various examples, including electoral predictions and misinterpretations of cholera outbreaks. It emphasizes the significance of well-designed experiments and random assignment in establishing causal relationships, while also addressing the complexities of quasi-experimental methods in economic research.

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