Causal Inference for Business

1.5 Credits · Level: Graduate

Correlation is not causation. Or is it? This course focuses on how managers can apply statistical methods to learn about causal empirical relationships, leveraging pre-existing knowledge about market conditions. The methods include randomized controlled trials, regression discontinuity design, differences-in-differences regression, and instrumental variables. Students learn the theoretical rationale for these methods and apply them in a series of business and economic applications. The ultimate goal is to provide a better understanding of when data support actionable business recommendations.