MSP quantifies the minimum changes to analyst choices required to falsify a causal claim by making its confidence interval contain zero, providing information orthogonal to dispersion-based robustness summaries.
Making sense of sensitivity: Extending omitted vari- able bias.Journal of the Royal Statistical Society Series B: Statistical Methodology, 82 (1):39–67, 2020
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Minimum Specification Perturbation: Robustness as Distance-to-Falsification in Causal Inference
MSP quantifies the minimum changes to analyst choices required to falsify a causal claim by making its confidence interval contain zero, providing information orthogonal to dispersion-based robustness summaries.