Individual skill
mksc-methods
Use when the empirical/analytical approach is the bottleneck for a Marketing Science manuscript — choosing among structural econometrics, analytical modeling, and model-disciplined causal/ML methods, and making the model estimable and identified. Designs the approach; it does not execute the estimation and counterfactuals (mksc-data-analysis).
Marketing-Science-Skills/skills/mksc-methods/SKILL.md
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# Methods & Identification (mksc-methods)
## When to trigger
- You must choose between a structural, analytical, or reduced-form/causal-ML approach
- The model is written but not yet estimable (parameters, moments, normalization)
- Identification is hand-waved ("we use instruments") without specifics
- A reviewer says "the design cannot identify the structural parameters"
## Choose the genre that fits the claim
Marketing Science is methodologically plural around a modeling core: structural econometrics, analytical models, econometric/statistical analysis, ML tools, surveys, and experiments — all judged by whether they develop, test, or rigorously apply a formal model.
| Claim / goal | Approach that earns it |