
All Else Equal: “Disentangling Causation and Correlation” with Guido Imbens
If/Then
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.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.