From Correlation to Causation

To make sound business decisions, managers must be comfortable with the concepts of correlation and causation. This background note provides an overview of correlation and causation using examples and explains why the former does not imply the latter. It also describes several methods for gaining insights into causal relations, including randomized experiments, panel data, matching, and regression discontinuity. The note is intended for a general audience and does not require advanced statistics knowledge.