- Series: Analytical Methods for Social Research
- Paperback: 515 pages
- Publisher: Cambridge University Press; 2 edition (November 17, 2014)
- Language: English
- ISBN-10: 1107694167
- ISBN-13: 978-1107694163
- Product Dimensions: 7 x 1.1 x 10 inches
- Shipping Weight: 2.5 pounds (View shipping rates and policies)
- Average Customer Review: 9 customer reviews
- Amazon Best Sellers Rank: #120,188 in Books (See Top 100 in Books)
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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research) 2nd Edition
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"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, Massachusetts
"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
"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, Massachusetts
"The second edition of Counterfactuals and Causal Inference should be part of the personal library of any social scientist who is engaged in quantitative research. For those with a copy of the first edition, purchase of the second edition is indeed well worth the investment."
Peter Messeri, Canadian Studies in Population
Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences, even though definitive answers to cause-and-effect questions may not always be possible given the constraints that researchers face in collecting data and evaluating alternative explanations. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition of Counterfactuals and Causal Inference aims to convince more social scientists to take a counterfactual approach when analyzing the core empirical questions of the social sciences as well as applied research questions of public importance.
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