Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 3 images

Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research) Paperback – 26 Oct 2011

4.0 out of 5 stars 2 customer reviews

See all 3 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
Paperback
£9.36 £12.75
click to open popover


Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone

To get the free app, enter your mobile phone number.



All Amazon Original Books on Sale
Browse a selection of over 160+ Kindle Books currently on sale. Learn more

Product details

  • Paperback: 334 pages
  • Publisher: Cambridge University Press; 1 edition (26 Oct. 2011)
  • Language: English
  • ISBN-10: 0521671930
  • ISBN-13: 978-0521671934
  • Product Dimensions: 15.2 x 2 x 22.8 cm
  • Average Customer Review: 4.0 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: 569,095 in Books (See Top 100 in Books)
  • Would you like to tell us about a lower price?
    If you are a seller for this product, would you like to suggest updates through seller support?

  • See Complete Table of Contents

Product description

Review

"This book is the first representative of a growing surge of interest among social scientists and economists to reclaim their professions from the tyrany of regression analysis and address cause-effect relationships squarely and formally. The book is unique in recognizing the equivalence between the counterfactual and graphical approaches to causal analysis and shows readers how to best utilize the distinct features of each. An indispensible reading for every forward-looking student of quantitative social science." -Judea Pearl University of California, Los Angeles

"...Morgan and Winship have written an important, wide-ranging, careful, and original introduction to the modern literature on causal inference in nonexperimental social research."
Canadian Journal of Sociology

Book Description

In this book, the essential features of the counterfactual model of causality for observational data analysis are presented with examples from sociology, political science, and economics. The importance of causal effect heterogeneity is stressed throughout the book and the need for deep causal explanation via mechanisms is discussed.

See all Product description

Customer reviews

Share your thoughts with other customers
See all 2 customer reviews

Top customer reviews

21 November 2012
Format: Paperback|Verified Purchase
0Comment|Was this review helpful to you? Report abuse
19 March 2015
Format: Paperback|Verified Purchase
0Comment|Was this review helpful to you? Report abuse

Most helpful customer reviews on Amazon.com

Amazon.com: 4.8 out of 5 stars 12 reviews
P. Kim
4.0 out of 5 starsHelped my research :D
23 May 2017 - Published on Amazon.com
Format: Paperback|Verified Purchase
Alvaro Alonso
5.0 out of 5 starsFantastic book on causal inference -- useful for epidemiologists too
25 September 2017 - Published on Amazon.com
Format: Paperback|Verified Purchase
W. YIP
5.0 out of 5 starsOutstanding book for someone who wants to learn causal inference
7 April 2013 - Published on Amazon.com
Format: Paperback|Verified Purchase
Sociobabble
5.0 out of 5 starsExcellent introduction to Causal Inference for social scientists
1 March 2010 - Published on Amazon.com
Format: Paperback|Verified Purchase
45 people found this helpful.
LOV
5.0 out of 5 starsVery very clear...
5 November 2010 - Published on Amazon.com
Format: Paperback|Verified Purchase
14 people found this helpful.
Pages with related products. See and discover other items: social research methods

Where's My Stuff?

Delivery and Returns

Need Help?