Causal Inference
The Remix
Seiten
2026
|
2nd Revised edition
Yale University Press (Verlag)
978-0-300-27244-4 (ISBN)
Yale University Press (Verlag)
978-0-300-27244-4 (ISBN)
- Noch nicht erschienen (ca. August 2026)
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An expanded, fully revised edition of a leading econometrics text, offering deeper coverage, new methods, and accessible guidance on the core tools of causal inference
Causal inference—a cornerstone of statistics and the social sciences, particularly economics—helps us determine whether one event truly causes another.
The Remix expands on Scott Cunningham’s widely used Causal Inference: The Mixtape, providing a strong foundation in econometrics through accessible explanations of key design-based methods: unconfoundedness approaches, instrumental variables, regression discontinuity, and advanced panel techniques such as fixed effects, difference-in-differences, and synthetic control.
This new edition adds major updates, including an extended treatment of difference-in-differences—from core concepts to advanced topics like staggered adoption and covariate adjustment—as well as fuller discussions of synthetic control, more empirical examples, and clearer pathways for readers to engage with cutting-edge methods.
Written in a conversational, encouraging style, the book welcomes readers of all levels, offering breadcrumbs that connect concepts and deepen understanding. Whether you are new to causal inference or seeking to refine your tool kit, The Remix serves as both companion and manual for mastering the field’s central principles and methods.
Causal inference—a cornerstone of statistics and the social sciences, particularly economics—helps us determine whether one event truly causes another.
The Remix expands on Scott Cunningham’s widely used Causal Inference: The Mixtape, providing a strong foundation in econometrics through accessible explanations of key design-based methods: unconfoundedness approaches, instrumental variables, regression discontinuity, and advanced panel techniques such as fixed effects, difference-in-differences, and synthetic control.
This new edition adds major updates, including an extended treatment of difference-in-differences—from core concepts to advanced topics like staggered adoption and covariate adjustment—as well as fuller discussions of synthetic control, more empirical examples, and clearer pathways for readers to engage with cutting-edge methods.
Written in a conversational, encouraging style, the book welcomes readers of all levels, offering breadcrumbs that connect concepts and deepen understanding. Whether you are new to causal inference or seeking to refine your tool kit, The Remix serves as both companion and manual for mastering the field’s central principles and methods.
Scott Cunningham is Ben H. Williams Professor of Economics at Baylor University. He writes and teaches widely on causal inference and maintains a site with news on upcoming workshops, updates to Causal Inference, and much else at Substack.
| Erscheint lt. Verlag | 25.8.2026 |
|---|---|
| Zusatzinfo | 119 b-w illus. |
| Sprache | englisch |
| Maße | 140 x 216 mm |
| Themenwelt | Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung |
| Wirtschaft ► Betriebswirtschaft / Management | |
| ISBN-10 | 0-300-27244-8 / 0300272448 |
| ISBN-13 | 978-0-300-27244-4 / 9780300272444 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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