Use when finalizing the simulation tables and any empirical / illustrative exhibits in an Econometrica manuscript so each is self-contained, precise, and reproducible. Formats and audits exhibits; it does not design the Monte Carlo (use ecta-robustness) or run the estimation.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add thedixitjain/the-mega-skill-library --skill ecta-tables-figures --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Ecta Tables Figures?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/thedixitjain-ecta-tables-figures)More formats (shields.io, HTML) on the badges page.
---
name: ecta-tables-figures
description: "Use when finalizing the simulation tables and any empirical / illustrative exhibits in an Econometrica manuscript so each is self-contained, precise, and reproducible. Formats and audits exhibits; it does not design the Monte Carlo (use ecta-robustness) or run the estimation."
category: general-purpose
source_repo: brycewang-stanford/Awesome-Journal-Skills
source_path: "Econometrica-Skills/skills/ecta-tables-figures/SKILL.md"
source_url: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Econometrica-Skills/skills/ecta-tables-figures/SKILL.md
---
# Tables and Figures (ecta-tables-figures)
## When to trigger
- A Monte Carlo or empirical table is overloaded, ambiguous, or not self-contained
- Notes do not say what is being reported (size? coverage? bias?) at what sample size and nominal level
- Figures (power curves, coverage plots, value-function illustrations) lack axis labels or a legend
- Numbers in the table cannot be traced to a specific script / seed
Econometrica exhibits are read closely by referees who will recompute or sanity-check
entries — and at conditional acceptance the ES **Data Editor** re-runs the code behind every
table, figure, and number that comes from data or simulation. Every table and figure must
stand alone *and* trace to a seeded script in the replication package. Two Econometrica
specifics that differ from applied siblings: (1) the **45-page** main-text limit (incl.
references and appendices) forces ruthless triage — keep the headline size/power/coverage
tables in the body and push secondary designs to the **Supplemental Material**; (2)
reproducibility is enforced by the **Econometric Society** Data Editor with a **Zenodo**
deposit, not the AEA/openICPSR pipeline the AER/AEJ packs assume.
## Simulation-table standards
1. **Self-contained.** The caption + notes must let a reader interpret every number without
the body text: estimator(s), DGP / design, sample size(s), number of replications, nominal
level, and what each column reports (bias, RMSE, empirical size, coverage, length).
2. **One concept per table** where possible — do not mix size, power, and point-estimation
quality in one undifferentiated block.
3. **Consistent precision.** Choose decimal places deliberately (e.g., sizes to 3 decimals so
0.052 vs. 0.048 is visible) and keep them consistent down a column.
4. **Highlight the comparison.** The reader should see at a glance that the proposed method
controls size / has lower RMSE than the competitor — order columns/rows so the contrast reads.
5. **Monte Carlo error.** Where a size or coverage near the nominal level carries the argument,
make the simulation precision clear (replication count in notes, or a reported MC standard error).
6. **Three-line / booktabs style.** Clean rules (top, mid, bottom), no vertical lines, no
shading — the standard for formal economics journals.
## Figures
- **Label everything**: axes with units, every series, the nominal-level reference line on a
size/coverage plot, the null on a power curve.
- **Power curves**: plot rejection probability against the departure parameter; mark the null
and the nominal level; use size-adjusted curves for fair comparison.
- **Coverage plots**: show coverage across designs / sample sizes against the nominal target.
- **Theory illustrations**: equilibrium / value function / comparative statics across the
parameter range, with the relevant region annotated.
- **Vector format** (PDF/EPS) so curves stay crisp; legible at print size; colorblind-safe and
readable in grayscale.
## Traceability
- Each table/figure should be regenerated by a named script with a fixed seed (tie this to
`ecta-replication-package`). Keep a map: Table N ↔ script ↔ seed ↔ output file.
- Numbers in the text must match the tables exactly (no rounding drift between prose and table).
## Execution bridge (StatsPAI / Stata MCP)
Generate exhibits from the fitted result, not by retyping numbers. Full map:
[`execution-with-mcp`](../../../shared-resources/empirical-methods/execution-with-mcp.md). Econometrica publishes econometric theory and applied micro; the chain below serves its applied/empirical papers (weak-IV-robust and modern-DiD reporting expected) — pure theory uses its own apparatus.
- **Tables:** `etable` (multi-model) 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 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
- [ ] Caption + notes make each exhibit fully self-contained
- [ ] DGP/design, n, replications, nominal level, and per-column meaning all stated
- [ ] Decimal precision deliberate and consistent
- [ ] Competitor methods included; the key comparison reads at a glance
- [ ] Monte Carlo precision conveyed where size/coverage carries the argument
- [ ] Three-line / booktabs style; no vertical rules or shading
- [ ] Figures fully labeled; vector format; readable in grayscale
- [ ] Every exhibit traces to a named script + seed; text numbers match tables
## Anti-patterns
- A size table with no nominal level stated, so 0.07 is uninterpretable
- Mixing size, power, and bias in one block with no clear separator
- Reporting power without indicating size, making the method look artificially good
- Inconsistent decimals down a column, hiding the comparison
- A figure with unlabeled axes or an unexplained second series
- Numbers in the text that disagree with the table by a digit
- A table no script can regenerate, so replication review cannot verify it
## Output format
```
【Exhibit】Table/Figure N — [what it shows]
【Self-contained?】yes / no — missing: [...]
【Reports】bias / RMSE / size / power / coverage / length / illustration
【Design+n+reps+level stated】yes/no
【Style】booktabs three-line / needs fixing
【Traceable to script+seed】yes/no
【Next step】ecta-writing-style
```
---
**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Econometrica-Skills/skills/ecta-tables-figures/SKILL.md`
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!