How Much Is Minnesota Like Wisconsin? Assumptions and Counterfactuals in Causal Inference with Observational Data
By Luke Keele, William Minozzi. Political Analysis, 2013
96 citations recorded by the source corpus.
Subfields: Political Science and International Relations, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5758609b96a577b605751b21a793ff3df1690ed4
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In Statistics and Probability
- Peng Ding
- Matthew P. Hitt
- Joshua P. Darr
- Johanna Dunaway
- Fan Li
- Xinran Li
- Kevin Guo
- Guillaume W. Basse
Citations in the corpus
- The Statistics of Causal Inference: A View from Political Methodology (2015, unknown): “See Mebane and Poast (2013) and Keele and Minozzi (2012) for examples in political science.”
- A Bracketing Relationship between Difference-in-Differences and Lagged-Dependent-Variable Adjustment (2019, background): “…it makes causal comparisons from observational panel data by exploiting variation across time (Ashenfelter, 1978; Bertrand et al., 2004; Angrist and Pischke, 2009; Bechtel and Hainmueller, 2011; Keele and Minozzi, 2013; Malesky et al., 2014; Keele et al., 2019; Callaway and Sant’Anna, 2019).”
- Newspaper Closures Polarize Voting Behavior (2018, background): “Analysts should continue to probe the selection process into newspaper closure, given that, as Keele and Minozzi (2013) observe, selection issues abound when conducting causal inference on geographic units.”