Read it for
- Causal inference
- Incrementality
- Econometrics
What this book covers
Scott Cunningham introduces causal methods through social-science examples and worked analysis. For an agency, it helps measurement specialists examine the assumptions behind a claim of incremental effect. The LSE review highlights the statistical prerequisites, so owners should treat it as specialist study rather than a quick attribution explainer for every client.
Bring it to your work
Draw a causal explanation for one reported campaign lift and list the alternative causes a study must address. This is a PMC editorial prompt.
Reading context
Publisher description and paperback metadata reviewed. This is a statistical methods text, not a media-platform manual; applying the methods requires an explicit identification strategy.
External reviews & commentary
These are other readers’ assessments, summarised with their original source and context. Recommendations, review fees and earlier editions are identified below.
LSE Review of Books: Simeon Mitropolitski ↗
Mitropolitski recommends the systematic treatment of causal methods for quantitative researchers. He also says the technical language requires knowledge beyond introductory statistics, making this a more suitable choice for measurement specialists than readers seeking a quick business overview.
Context: Review of the 2021 work, read in LSE’s public archive PDF. The review discloses affiliate purchase links and states that coverage is independent of them.
Prepared with AI assistance from the sources identified on this page. The applications and comparisons are Paid Media Collective suggestions, not claims of full-book reading. An external review does not verify every claim in a book.
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Edition & source notes
The reference below identifies the material checked for this listing. It may differ from the format offered by the main book link.
- Reference edition
- Numbered edition unverified
- Format
- paperback
- Reference edition date
- 26 January 2021
- ISBN-13
- 9780300251685
Publisher or author description reviewed. Sources checked . Book not read in full.
Access: See the publisher or author for available formats and prices.
Publisher description and paperback metadata reviewed. This is a statistical methods text, not a media-platform manual; applying the methods requires an explicit identification strategy.
Applications, priorities and coverage depth are editorial judgments. Book not read in full.
Source facts and reading prompts prepared with AI assistance. The named authors and linked publishers retain credit for the original work. Source verification is separate from an assessment of current platform tactics.
Take the idea off the page.
What assumptions make this estimate interpretable as an effect of advertising?
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