Causal Inference
For Statisticians, Social Scientists, and Epidemiologists
Book •
Guido Imbens and Donald Rubin's "Causal Inference" is a highly regarded textbook in the field.
It provides a comprehensive overview of causal inference methods, covering both theoretical foundations and practical applications.
The book delves into various techniques, including potential outcomes, instrumental variables, and regression discontinuity designs.
It emphasizes the importance of causal diagrams and the role of assumptions in causal inference.
The book is known for its rigorous treatment of the subject matter and its wide range of examples.
It is a valuable resource for researchers and students interested in learning about causal inference.
It provides a comprehensive overview of causal inference methods, covering both theoretical foundations and practical applications.
The book delves into various techniques, including potential outcomes, instrumental variables, and regression discontinuity designs.
It emphasizes the importance of causal diagrams and the role of assumptions in causal inference.
The book is known for its rigorous treatment of the subject matter and its wide range of examples.
It is a valuable resource for researchers and students interested in learning about causal inference.
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Justin Belair
Behind the Scenes of Writing a Book About Casual Inference
