The Stable Unit Treatment Value Assumption (SUTVA) posits that the potential outcomes for an individual are unaffected by the treatments assigned to other individuals. This means that each individual's response to a treatment is stable and not influenced by other units, ensuring that the treatment effect can be isolated. SUTVA is crucial for establishing consistency in causal inference as it underlines the importance of considering each unit's treatment effect independently.
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