# Jae Tables Figures

> Use when building the exhibits for a Journal of Accounting and Economics (JAE) manuscript — variable-definition appendix, sample-construction table, descriptive statistics and correlations, regression tables with clustered standard errors, and event-study/DiD figures — in Elsevier house style so each exhibit is self-contained and reproducible.

- Skill: `thedixitjain/jae-tables-figures` (Agent Skill)
- Install (CLI): `npx skillmds add thedixitjain/jae-tables-figures`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/jae-tables-figures/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Finance & Business
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/thedixitjain/jae-tables-figures

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# Tables & Figures for JAE (jae-tables-figures)

## When to trigger

- Regression output is pasted in raw and not yet reader-ready
- Tables do not state the sample, the SE clustering, or variable definitions
- A reviewer cannot tell which coefficients are the test of the hypothesis
- You need a variable-definition appendix or a sample-waterfall table

## The standard JAE exhibit set

Archival JAE papers carry a recognizable table sequence; build it deliberately:

1. **Variable definitions** (often an appendix): every variable, its construction, and the data source (Compustat/CRSP/I/B/E/S/Execucomp/DealScan/Audit Analytics). Reviewers check this first.
2. **Sample construction**: the waterfall from population to final N with counts at each exclusion.
3. **Descriptive statistics**: N, mean, median, SD, and key percentiles; note winsorization (e.g., 1%/99%).
4. **Correlation matrix**: Pearson (and often Spearman) correlations among main variables.
5. **Main regressions**: the hypothesis tests, with the coefficient of interest visually identifiable.
6. **Cross-sectional / mechanism tables**: partitions showing the effect concentrates where the friction is severe.
7. **Robustness tables**: alternative proxies, specifications, placebo/falsification, identification diagnostics.

## Reporting conventions reviewers expect

- Report **coefficients with t- or z-statistics (or standard errors)** and state the **SE clustering** (firm, or two-way firm-and-year) in the table note.
- Indicate the **fixed effects** included (firm, year, industry) in each column.
- Use consistent **significance markers** and define them in the note; report **economic magnitude**, not only stars.
- Every table note must make the exhibit **self-contained**: sample, period, units, FE, clustering, and what the key coefficient tests.

## Figures

- **Event studies**: plot cumulative abnormal returns around the information event with confidence bands.
- **DiD dynamics**: plot event-time coefficients to show parallel pre-trends and the post-treatment effect.
- **Comparative statics** (analytical papers): plot the model's predicted relations.
Keep figures clean, labeled, and grayscale-legible; Elsevier renders single-column native format.

## Elsevier house style

JAE follows Elsevier author-date (Harvard) referencing and numbered sections (1, 1.1, 1.1.1). Number tables/figures in citation order, reference each in the text, and keep the in-text discussion interpreting—not merely repeating—the numbers. Remember the manuscript also requires **Highlights** (2-5 bullets, ≤125 characters each) summarizing the findings.

## 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). JAE is empirical accounting with an economics lens; treat identification and weak-IV-robust inference as the binding constraints.

- **Tables:** `etable` (multi-model columns) or `did_summary_to_latex` straight from the
  `result_id`.
- **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 and states the effect size 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

- [ ] Variable-definition appendix with data sources
- [ ] Sample-construction waterfall table
- [ ] Descriptives + correlation matrix; winsorization noted
- [ ] Main tables: key coefficient identifiable; t-stats/SEs shown
- [ ] FE and SE clustering stated in every table note
- [ ] Mechanism and robustness tables present
- [ ] Event-study/DiD figures with pre-trends and bands
- [ ] Every exhibit self-contained; Highlights drafted

## Anti-patterns

- **Raw software dumps** with unlabeled columns.
- **No clustering/FE disclosure** in table notes.
- **Stars without magnitudes.**
- **Undefined variables** or missing data-source attribution.
- **DiD with no event-time figure** to support parallel trends.


## Exhibit pass for Journal of Accounting and Economics

Use this as a second-pass capability check. First lock the economic mechanism, accounting setting, identification or model, and market/contracting consequence; then test whether the manuscript addresses accounting-economics reviewers who expect economics discipline, identification, and market or contracting implications.

- **Primary move:** For every table or figure, state the object, sample/case base, uncertainty display, and one sentence the exhibit proves for this venue.
- **Decision ledger:** return `claim / evidence / blocker / next edit` rows so the next pass can patch the manuscript directly.
- **Neighbor test:** compare against JAR for accounting research breadth, TAR for accounting flagship breadth, Review of Accounting Studies for archival/accounting focus; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
- **Verification floor:** before submission-ready advice, re-open `resources/official-source-map.md` for volatile rules and name the one unresolved fact that could change the recommendation.

## Output format

```
【Exhibit list】vars / sample / descriptives / corr / main / mechanism / robustness / figures
【Each main table note】sample, period, FE, SE clustering, sig. definitions
【Figures】event-study CARs / DiD dynamics / comparative statics
【Highlights drafted?】2-5 bullets ≤125 chars
【Next step】jae-writing-style
```

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**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Journal-of-Accounting-and-Economics-Skills/skills/jae-tables-figures/SKILL.md`