Counterfactuals and Causal Inference by Stephen L. Morgan
By S. Morgan, Christopher Winship. 2014
1,477 citations recorded by the source corpus.
Subfields: Statistics and Probability
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In Statistics and Probability
- Guido W. Imbens
- Cynthia Rudin
- Andrew Gelman
- Paul-Christian Burkner
- Susan Athey
- M. D. Cattaneo
- Aki Vehtari
- Yuling Yao
Citations in the corpus
- Causal Reasoning for Algorithmic Fairness (2018, background): “(4) as matched by a statistical matching procedure [27], then they can be thought of as counterfactual versions of each other.”
- Using the Propensity Score Method to Estimate Causal Effects (2013, methodology): “SPSS SPSS Macro for P score matching Painter (2004) Performs nearest neighbor propensity score matching.”
- Hypothesis Tests That Are Robust to Choice of Matching Method (2018, background): “e experimenter, or arbitrary and complex choices of dierent matching algorithms. We do not want to place a distribution over the choice of algorithms or matches that an experimenter would choose. As Morgan and Winship (2007) note, there is no clear guidance on the choice of matching procedure. We do”
- The Impact of Dual Enrollment on College Degree Attainment (2013, background): “The propensity score or the probability of a student, with a set of observed characteristics, participating in dual enrollment is (Morgan & Winship, 2007): (1) I assume that adjusting on the propensity score leads to a simulation of randomization on the conditional distribution of covariates and…”
- Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models (2019, background): “Bollen (2012) presents an array of data generating mechanisms that lead to correlated errors between the predictors and the outcome (a.k.a, endogeneity) and how instrumental variables can be used to overcome the problem, see also Morgan and Winship (2007) for its link to the causality literature.”
- Does Marriage Reduce Crime? (2015, background): “The bar for making causal inferences in the social sciences has increased over the past decades (Morgan and Winship 2007).”
- Sensitive industries produce better ESG performance: Evidence from emerging markets (2017, background): “Together with existing studies that focus on the evidence of associations, the findings of this study can also contribute to the evidence of causation (Morgan and Winship, 2015).”
- Comparative Hypothesis Testing Via Process Tracing (2014, background): “Contrastive explanations bear a resemblance to thinking in terms of potential outcomes (Morgan and Winship 2007).”