On the partial identification of a new causal measure for ordinal outcomes
Statistics & Probability Letters, 2018, vol. 137, issue C, 1-7
In a recent paper, Chiba (2017) proposed a new causal measure for ordinal outcomes. We derive the sharp bounds of Chiba (2017)’s causal measure, assuming fixed marginal distributions of the potential outcomes. We illustrate our results via a numeric example.
Keywords: Causal inference; Linear programming; Potential outcome; Stochastic dominance (search for similar items in EconPapers)
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