Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Cause and Effect Business Analytics and Data Science

Cause and Effect Business Analytics and Data Science

Haughton, Dominique
Haughton, Jonathan
Lo, Victor S. Y.

Hardcover

Series: Chapman and Hall/CRC Statistics in Business and Economics

ManagementDatabasesProbability & Statistics

ISBN10: 1482216477
ISBN13: 9781482216479
Publisher: CRC Press
Published: Jul 30 2025
Pages: 350
Weight: 1.50
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English

Among the most important questions that businesses ask are some very simple ones: If I decide to do something, will it work? And if so, how large are the effects? To answer these predictive questions, and later base decisions on them, we need to establish causal relationships.

Establishing and measuring causality can be difficult. This book explains the most useful techniques for discerning causality and illustrates the principles with numerous examples from business. It discusses randomized experiments (aka A/B testing) and techniques such as propensity score matching, synthetic controls, double differences, and instrumental variables. There is a chapter on the powerful AI approach of Directed Acyclic Graphs (aka Bayesian Networks), another on structural equation models, and one on time-series techniques, including Granger causality.

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