An automatic finite-sample robustness metric: when can dropping a little data change conclusions? Part I: definitions and experiments
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Study samples often differ in non-random ways from the target populations to which policy decisions will eventually be applied. Researchers typically hope that such departures from random sampling-due to changes in the population over time and space, or diffic... ...
