Counterfactuals and Causal Inference. Methods and Principles for Social Research
2nd edition
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- Nombre de pages499
- PrésentationBroché
- FormatGrand Format
- Poids0.956 kg
- Dimensions17,9 cm × 25,6 cm × 3,4 cm
- ISBN978-1-107-69416-3
- EAN9781107694163
- Date de parution01/10/2015
- CollectionAnalytical Methods for Social
- ÉditeurCambridge University Press
Résumé
"More has been learned about causal inference in the last few decades than the sum total of everything that had been learned about it in all prior recorded history. The first comprehensive survey of the modern causal inference literature was the first edition of Morgan and Winship. Now with the second edition …
"More has been learned about causal inference in the last few decades than the sum total of everything that had been learned about it in all prior recorded history. The first comprehensive survey of the modern causal inference literature was the first edition of Morgan and Winship. Now with the second edition of this successful book comes the most up-to-date treatment" Gary King, Harvard University.
"The use of counterfactuals for causal inference has brought clarity to our reasoning about causality. And this second edition by Morgan and Winship will bring clarity to anyone trying to learn about the field. It is an excellent introduction to the topic, and a fine place to begin learning causal inference." Tyler J. VanderWeele, Harvard University. "This improved edition of Morgan and Winship's book elevates traditional social sciences, including economics, education, and political science, from a hopeless flirtation with regression to a solid science of causal interpretation, based on two foundational pillars : counterfactuals and causal graphs.
A must for anyone seeking an understanding of the modern tools of causal analysis, and a must for anyone expecting science to secure explanations, not merely descriptions." Judea Pearl, University of California, Los Angeles.
"The use of counterfactuals for causal inference has brought clarity to our reasoning about causality. And this second edition by Morgan and Winship will bring clarity to anyone trying to learn about the field. It is an excellent introduction to the topic, and a fine place to begin learning causal inference." Tyler J. VanderWeele, Harvard University. "This improved edition of Morgan and Winship's book elevates traditional social sciences, including economics, education, and political science, from a hopeless flirtation with regression to a solid science of causal interpretation, based on two foundational pillars : counterfactuals and causal graphs.
A must for anyone seeking an understanding of the modern tools of causal analysis, and a must for anyone expecting science to secure explanations, not merely descriptions." Judea Pearl, University of California, Los Angeles.
