Tables and Figures (ecopol-tables-figures)
SkillCommunicationUse when an Economic Policy (EP) manuscript's exhibits are too technical for a policy reader or do not carry the policy message. Redesigns tables and figures for the EP dual audience; it does not invent evidence or citations.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Tables and Figures (ecopol-tables-figures) skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in Economic-Policy-Skills/skills/ecopol-tables-figures/SKILL.md and read by ahel’s review.
When to trigger
- A minister or central-bank reader could not extract the policy takeaway from your main exhibit
- Tables are dense regression dumps with every coefficient and three sets of stars
- The key magnitude is buried in a coefficient cell rather than shown as a headline effect
- Figures lack the context (units, baseline, policy threshold) a non-economist needs
- You are choosing which exhibits go in the accessible main text vs. the technical appendix
EP exhibits serve two readers — design for the harder one
EP is read by economists and policymakers, and presented to two discussants. The main-text exhibits must be legible to the policy reader; the regression machinery belongs in the appendix. The governing principle: lead with figures that show the policy effect, demote dense tables to the appendix. A good EP figure answers the policy question by itself — an event-study plot of the reform's effect over time, a map of treated regions, a bar of the welfare/cost decomposition — with a caption a non-specialist can read standalone.
Note on house style: EP applies its template and copyediting at the commissioning/production stage, and authors receive style guidance on commissioning (检索于 2026-06;以官网为准). All figures should carry alternative text (alt text) for accessibility (检索于 2026-06;以官网为准). Confirm exact figure-format and table-style rules in the live author guidelines.
Main-text vs. appendix split
| Exhibit | Where it belongs |
|---|---|
| Headline policy effect (event study, treatment effect over time) | main-text figure |
| Magnitude in policy-meaningful units (€, jobs, % of GDP) | main-text figure/table |
| Welfare / fiscal-cost decomposition | main-text figure |
| Full regression table with all controls and specifications | appendix |
| Robustness grid across specifications | compact summary in main text; full grid in appendix |
| Balance / first-stage / density diagnostics | appendix |
Craft moves for the policy reader
- Translate units. Show effects as €, jobs, percentage-points of GDP, or per-capita — not just a standardized coefficient. The policymaker thinks in outcomes, not z-scores.
- Put the baseline in the figure. An effect of "−0.08" is meaningless without "relative to a baseline of 0.40." Annotate it.
- One message per figure. If a figure makes two points, split it. Caption states the single takeaway.
- Drop significance asterisks from the headline story. Show the point estimate and a visible confidence interval; let the policy reader see precision directly rather than decoding stars.
- Mark the policy object on the plot — the reform date, the eligibility threshold, the counterfactual path — so the design is visible.
- Tables: only the coefficients that matter in the main text; full controls in the appendix.
Execution bridge (StatsPAI / Stata MCP)
Generate exhibits from the fitted result, not by retyping numbers. Full map:
execution-with-mcp. Economic Policy is policy-facing applied economics; foreground a credible design and a policy-relevant magnitude.
- Tables:
etable(multi-model) ordid_summary_to_latexstraight from theresult_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.
Checklist
- At least one main-text figure that conveys the policy effect standalone
- Effects shown in policy-meaningful units, with the baseline annotated
- Confidence intervals visible; headline message not asterisk-dependent
- Policy object (reform date / threshold / counterfactual) marked on relevant figures
- Dense regression tables and diagnostics moved to the appendix
- Each figure has a standalone, non-technical caption (and alt text per accessibility policy — 待核实 on exact spec)
- One message per exhibit; no two-point figures
Anti-patterns
- A main-text table of 20 coefficients × 6 columns that no policymaker will read
- Reporting effects only as standardized/log coefficients with no real-world units
- Three tiers of significance stars carrying the headline instead of a shown CI
- Figures with no baseline, no units, and no marked policy event
- Leaving the single most policy-relevant exhibit in the appendix while the main text shows diagnostics
Output format
【Journal】Economic Policy (EP)
【Skill】ecopol-tables-figures
【Headline figure】does it convey the policy effect standalone? Y/N
【Units】effect expressed in € / jobs / %GDP / per-capita?
【Baseline + policy object】annotated on figure? Y/N
【Precision】CI shown (not asterisk-driven)? Y/N
【Main-text vs appendix】what moved to appendix
【Accessibility】alt text / format per guidelines (待核实 exact spec)
【Next skill】ecopol-writing-style
Signals
- GitHub stars
- 1k
- Forks
- 155
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
ecopol-tables-figures- Source
- github.com/brycewang-stanford/awesome-journal-skills
github.com/brycewang-stanford/awesome-journal-skills
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