Concept

Interpreting Model Results Under the Ceteris Paribus Assumption

The 'holding other things constant' (ceteris paribus) assumption is a tool for simplifying analysis, not for dismissing the importance of the factors being set aside. When evaluating a model's outcomes, it is crucial to consider which variables were held constant. These factors can be essential for explaining the observed evidence and understanding any discrepancies between the model's predictions and real-world results.

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Updated 2025-10-07

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