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  • 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)

by Stephen L. Morgan (Author), Christopher Winship (Author) Format: Paperback
4.5 out of 5 stars (110)

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In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.
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  1. ISBN-10
    1107694167
  2. ISBN-13
    978-1107694163
  3. Edition
    2nd
  4. Publisher
    Cambridge University Press
  5. Publication date
    January 15, 2015
  6. Part of series
    Analytical Methods for Social Research
  7. Language
    English
  8. Dimensions
    7 x 1.18 x 10 inches
  9. Print length
    515 pages
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Editorial Reviews

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

Book Description

This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.

Product details

  • Publisher ‏ : ‎ Cambridge University Press
  • Publication date ‏ : ‎ January 15, 2015
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 515 pages
  • ISBN-10 ‏ : ‎ 1107694167
  • ISBN-13 ‏ : ‎ 978-1107694163
  • Item Weight ‏ : ‎ 2.18 pounds
  • Dimensions ‏ : ‎ 7 x 1.18 x 10 inches
  • Part of series ‏ : ‎ Analytical Methods for Social Research
  • Best Sellers Rank: #196,789 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.5 out of 5 stars (110)

About the author

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Stephen L. Morgan

Stephen L. Morgan

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Stephen L. Morgan is currently the Bloomberg Distinguished Professor of Sociology and Education at Johns Hopkins University, having served until 2014 as the Jan Rock Zubrow '77 Professor in the Social Sciences at Cornell University. He holds a Ph.D. in Sociology from Harvard University, an M.Phil. in Comparative Social Research from Oxford University, and a B.A. in Sociology from Harvard University.

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