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/aejmic-tables-figures

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

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awesome-journal-skills
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$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmic-tables-figures --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/aejmic-tables-figures

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The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

aejmic-tables-figures.SKILL.md
name: aejmic-tables-figures
description: 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).

Result Presentation: Propositions, Examples & Exhibits (aejmic-tables-figures)

When to trigger

  • Propositions are buried in prose or stated imprecisely
  • A numerical example would make an abstract result concrete but is missing or cluttered
  • A schematic figure (timeline, type space, equilibrium region) would help but is not drawn
  • (Applied/experimental) tables are dense or carry significance asterisks

Presenting a theory-first result

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**.

Propositions and theorems

  • State each as a **numbered, self-contained** Proposition/Theorem/Lemma: a reader should grasp it without re-reading the model.
  • Put the **economic content first** in surrounding prose ("Higher search costs *raise* equilibrium prices because…"), then the formal statement.
  • Define every symbol at first use; keep notation consistent across statements; minimize ad-hoc subscripts.

Numerical examples (the AEJ: Micro workhorse)

  • Use a small, transparent parameterization to **illustrate the mechanism**, not to "test" it — say which proposition it instantiates.
  • Show the moving part: a table or plot of the key object (optimal mechanism, equilibrium strategy, welfare) as a primitive varies.
  • Report enough to reproduce (parameter values, grid) — these go in the replication package.

Schematic theory figures

  • Timelines for extensive-form games; **type-space / signal partitions** for information design; **equilibrium-region** plots in parameter space; best-response diagrams.
  • Vector output; readable labels; no chartjunk. A figure should carry one idea.

Applied / experimental tables

  • Three-line tables; **report standard errors and confidence sets, not significance asterisks** (AEA house norm for inference presentation).
  • Place exhibits near their discussion; self-contained notes (sample, units, what each column is).

Choosing the right exhibit for the result

| 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.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: [`execution-with-mcp`](../../../shared-resources/empirical-methods/execution-with-mcp.md).

  • **Tables:** `etable` (multi-model columns) or `did_summary_to_latex` straight from the

`result_id` — one variable definition, one set of numbers, body and appendix in sync.

  • **Figures:** `plot_from_result` / `enhanced_event_study_plot` / `event_study_table` —

axis units and the SE/clustering note baked in.

  • **Every note** names the estimator + clustering (from the result's diagnostics) and

states the magnitude in interpretable units.

See a full fitted-result → exhibit chain in the [JF execution walkthrough](../../../Journal-of-Finance-Skills/resources/worked-examples/02-execution-walkthrough.md).

Checklist

  • [ ] Every formal result is a numbered, self-contained Proposition/Theorem/Lemma
  • [ ] Economic content precedes the formal statement in prose
  • [ ] Notation defined at first use and consistent across exhibits
  • [ ] Numerical example states which proposition it illustrates and is reproducible
  • [ ] Schematic figures carry one idea each; vector output; clean labels
  • [ ] (Applied) tables report SEs / coverage sets, no significance asterisks
  • [ ] Exhibits placed near discussion; notes self-contained

Anti-patterns

  • A proposition stated only inside a paragraph, un-numbered and un-restated
  • A numerical example with a dozen parameters and no statement of what it shows
  • Overloaded figures (multiple unrelated panels, dense legends, chartjunk)
  • Inconsistent or ad-hoc notation across statements
  • Significance asterisks in an empirical/experimental table

Worked vignette (illustrative)

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.

Output format

【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-style
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