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Get Started Free →Use when presenting results for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — propositions, numerical examples, schematic theory figures, and empirical/experimental tables. Builds exhibits to AEA house norms; it does not derive the results (see aejmic-theory-model).
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -54% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 75% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 84% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 7% | 0% |
AEJ: Micro results are mostly propositions, characterizations, and numerical examples, not regression tables. The exhibit job is to make a formal result legible and concrete.
| What you want to convey | Best exhibit | |---|---| | A characterization holds | A numbered Proposition + an intuition sentence; rarely a table | | How an optimum moves with a primitive | A numerical-example plot (object vs. primitive) | | The structure of an equilibrium | A schematic (timeline, partition, region plot) | | A magnitude from estimation/experiment | A three-line table with SEs / coverage sets | | Model fit (structural) | Data vs. model overlay, not a fit statistic alone |
Pick one exhibit per idea. If a sentence does the job, do not add a figure; an AEJ: Micro theory paper can be exhibit-light without penalty.
Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: execution-with-mcp.
etable (multi-model columns) or did_summary_to_latex straight from theresult_id — one variable definition, one set of numbers, body and appendix in sync.
plot_from_result / enhanced_event_study_plot / event_study_table —axis units and the SE/clustering note baked in.
states the magnitude in interpretable units.
See a full fitted-result → exhibit chain in the JF execution walkthrough.
An information-design paper proves the sender-optimal signal is a two-message partition. The presentation: state Proposition 2 cleanly ("The sender-optimal signal partitions the state into {low, high} with cutoff x"), precede it with the intuition (pooling above x maximizes the receiver's action while preserving credibility), then a schematic figure of the state line with the cutoff and a small numerical example showing how x moves with the sender's bias. No regression table, no asterisks — the exhibits make the mechanism visible.
【Formal results】numbered propositions/theorems, each self-contained? [Y/N]
【Economic-content-first prose】present for each? [Y/N]
【Numerical example】illustrates which proposition; reproducible? [Y/N]
【Schematic figures】one idea each; vector; clean labels? [Y/N]
【Applied tables】SEs/coverage, no asterisks? [Y/N or N/A]
【Next step】aejmic-writing-styleOther measured skills in the registry, with their headline benchmark lift.