Counterfactuals and Causal Inference¶
Morgan, S. L., & Winship, C. (2014). Counterfactuals and Causal Inference: Methods and Principles for Social Research. Cambridge University Press.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Counterfactuals
- Making the counterfactual target explicit (Morgan and Winship 2014)
This sourceLays out the counterfactual/potential-outcomes approach and identification strategies (matching, regression, IV, causal graphs); making the counterfactual target explicit clarifies what each method delivers. Verified support.
Supported in partVerified against the publisher's abstract
The book's own abstract presents the potential-outcomes framework and its estimation methods, but never states that making the counterfactual target explicit clarifies what each method delivers.
“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”
- Making the counterfactual target explicit (Morgan and Winship 2014)
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 1 of 1 citation: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:4fefc08102c3 · see in the full table