Practice prompt · Q:economics-and-market-foundations/model-output-boundary-001

Label a model implication before seeking evidence

Check whether the learner can audit assumptions and distinguish a reproducible model result from observation, causal estimate, and recommendation.

Updated Aug 7, 2026 Review due Nov 7, 2026

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A reproducible capacity workbook predicts fewer missed service events after one scheduling hire. The workbook states its demand and staffing assumptions, but no pilot, historical comparison, or causal design is supplied. How should the output be described?

Choose the best answer. a The output is an observed causal effect because the workbook reproduces it exactly. b It is a model implication under the stated demand and staffing assumptions; test those inputs, omitted mechanisms, sensitivity, and a credible comparison before reporting a realized effect. c The model is useless because every model omits details.

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Answer: b

Choice b. Audit the question, variables, constraints, mechanism, assumptions, comparative prediction, evidence needs, and domain before interpreting the output.