Quasi-experiments
- Exploits natural or accidental variation in exposure that mimics random assignment.
- These methods do not require randomized treatment but instead leverage external structures (e.g. thresholds, timing, policies) to approximate experimental conditions.
- They exploit natural experiments or discontinuities in treatment assignment to estimate causal effects.
Overlap: Shares conceptual ground with Experiments, Adjusted Methods (often combined with covariate control), and Independent Detection (for identifying breakpoints)
Key feature: Use of non-random but plausibly exogenous variation
Usage: For causal inference using observational data where assignment approximates randomness