Ebook Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
Ebook Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
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Review
"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
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Book Description
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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Product details
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:
6.9 x 1.1 x 10 inches
Shipping Weight: 2 pounds (View shipping rates and policies)
Average Customer Review:
4.8 out of 5 stars
11 customer reviews
Amazon Best Sellers Rank:
#77,766 in Books (See Top 100 in Books)
A good book on the issues surrounding the estimation of cause and effect in an observational science -- as opposed to an experimental context -- such as economics and sociology. Does not pose a final answer, but explores a technique of essential value. Is it the only approach? No. But it is an excellent explication of the method, and takes us one step closer to a truly scientific methodology in what are unfortunately termed the "social" sciences.
This is a perfect introductory book to causal inference but those who are already familiar with the topic should also find it useful. Since it is written for social science researchers, the math is very minimal and a technical person might initially find the book a bit wordy. However, the concepts are actually explained in a very clear fashion and the detailed explanation and description are quite helpful. I also own the previous version but this one is quite a bit expanded and is worth the buy especially given the relatively low price.
Contrary to the previous review, I found the exposition of methods, analyses and explanations highly readable. The writing is more elaborate than the first edition. However, this can be viewed as a strength of the second edition with in-depth examples, and clear arguments.
This book has a very good overview of causality, probably the most comprehensive and friendly introduction for social scientists.
This book is AMAZING. For anyone interested in causal methods, this is a must-buy. It's very clear, well-written and accessible for all background levels.
At least to me, made the concepts underlying causal inference easier to understand than the other available textbooks.
Worth buying even if you have the first edition.
Great text, but why the print face so faint and small? I almost signed up for the ebook to rest my eyes.
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