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.
Collection: HBSP (USA)
Ref: HBS-616009-E
Format: PDF
Number of pages: 7
Publication Date: Aug 31, 2015
Language: English
Review date: Jan 12, 2017
What material is included in this case:
Description
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.
Read more
Geographic Setting: Geographic Setting:North America
Industry Setting: Industry Setting:Social advocacy organizations; Water supply
Leave your rating
"From Correlation to Causation"
Register for free with IESE Publishing and enjoy all the advantages
What type of account do you want to create?
Choose account type
Professors
Academic Institutions
Companies
Individuals