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COMPEL Glossary / regression-discontinuity-rdd
Regression discontinuity (RDD)
A quasi-experimental design using a threshold — e.g., a credit-score cutoff, an eligibility cutoff — to create a natural experiment near the cutoff.
What this means in practice
Identifies local causal effect for units near the threshold; applicable to AI features gated by score-based rules.
Synonyms
RDD , regression discontinuity design
See also
- A/B test (RCT) — A randomised controlled trial in which units are randomly assigned to treatment (AI feature) and control (no feature or baseline feature).
- Difference-in-differences (DiD) — A quasi-experimental design comparing treated and control trajectories over time — identifying causal effect from differential change.
- Counterfactual outcome — The outcome that would have occurred without the AI intervention — the benchmark against which incremental AI value is measured.