Counterfactuals and Causal Inference: Methods and Principles for Social Research

By Stephen L. Morgan, Christopher Winship. 2007

277 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7a7ef00541c72259ebe670e94d78e0a26c86d82e

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Citations in the corpus

The seven tools of causal inference, with reflections on machine learning (2019, background): “This development has had a transformative impact on all data-intensive sciences, especially social science and epidemiology, in which causal diagrams have become a second language [Morgan and Winship 2015; VanderWeele 2015].”
Interpretation and identification of causal mediation. (2014, unknown): “It can be shown that the availability of such intermediate measurements can make up for the unobservability of all factors that confound T and M (Morgan and Winship, 2007, Ch. 3; Pearl, 2000a, Ch. 3).”
TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS (2014, unknown): “It is for these reasons that graphical representations have become an indispensable second language in the health sciences (Glymour and Greenland, 2008; Vansteelandt and Lange, 2012) and are making their way towards the social and behavioral sciences (Chalak and White, 2011; Lee, 2012; Morgan and Wi”
Mainstreaming Impact Evaluation in Nature Conservation (2016, background): “To obtain these insights, impact evaluations must be more than abstract quantitative evaluations but rather build on qualitative theories of change which help identify the conditions in which the desired impacts arise (Morgan & Winship 2007).”
3. The Foundations of Causal Inference (2010, methodology): “…a sufficient set for the effect of W3 on Y ), and, finally, we combine the two effects together and obtain P(y | do(x)) = ∑ w3 P(w3 | do(x))P(y | do(w3)) (28) In this example, the variable W3 acts as a “mediating instrumental variable” (Pearl 1993b; Chalak and White 2006; Morgan and Winship 2007).”
A Summative Evaluation of RCT Methodology: & An Alternative Approach to Causal Research (2008, unknown): “For example, in Counterfactuals and Causal Inference: Methods and Principles for Social Research (Morgan & Winship, 2007), there are no references to overdetermination (or redundant causation, a related term), by contrast with the 25 in the excellent philosophical anthology Causation and…”
The Statistics of Causal Inference: A View from Political Methodology (2015, unknown): “Readers interested in a more in-depth review from diﬀerent perspectives should consult Angrist and Pischke (2009), Morgan and Winship (2014), and Rosenbaum (2010).”