Jeem Tables Figures

Tables and Figures (jeem-tables-figures)

When to trigger

• The main result is settled but the table or figure does not make the welfare number jump out
• A spatial or treatment-timing story would land better as a map or event-study plot than a coefficient
• A valuation paper needs to show a WTP distribution, a demand curve, or choice-experiment marginal effects
• Exhibits are dense, mislabeled, or rely on significance stars instead of magnitudes and CIs

What JEEM exhibits must do

Environmental economics is inherently spatial and dynamic, so JEEM exhibits should exploit geography and time, not just stack coefficients. The reader — and the referee — should be able to see the identifying variation and the welfare magnitude from the exhibit alone. Lead with the figure that shows the design (an event study, a map of treatment, an RD plot, a WTP density); relegate the full regression table to support it.

Maps are exhibits, not decoration

Because environmental variation is spatial, a map often does identification work that a table cannot: it shows where treatment fell, whether treated and control units are comparable, and whether the outcome gradient lines up with the exposure. Treat maps with the same rigor as regression tables. State the coordinate reference system and the unit of aggregation; choose a perceptually uniform, colorblind-safe scale (not rainbow); show treatment and outcome on comparable geographies and at a scale where the reader can see the variation. A sloppy map that exaggerates a gradient is worse than no map, because referees will distrust the rest of the exhibits.

House-style and craft rules

1. Translate to welfare units in the exhibit. Report the implied dollar damage, $ WTP, or % capitalization in the table or note — not just a regression coefficient the reader must convert.
2. Show uncertainty as CIs, not just stars. Confidence intervals and standard errors communicate magnitude; report them prominently. Significance stars are acceptable in Elsevier style but must never substitute for the magnitude and its CI.
3. Make maps honest. State the projection, the unit, and the color scale; avoid rainbow scales that exaggerate; show the treatment and the outcome on comparable geographies.
4. Self-contained notes. Each table/figure note states the sample, the unit of observation, the clustering/spatial-SE choice, and the estimand — a referee should not need the text to read the exhibit.
5. Follow the Elsevier/JEEM mechanics (检索于 2026-06；以官网为准): high-resolution figures, color used meaningfully, consistent decimal places, units in column headers. Re-check the current artwork and table guidance in the guide for authors.

Showing nonlinearity in dose-response

Environmental damages and valuations are often nonlinear — pollution-mortality concentration-response curves, threshold effects in temperature, diminishing WTP in scope. A single linear slope hides exactly the structure a regulator needs (where marginal damage steepens, where a standard should bind). When the relationship is plausibly nonlinear, show the dose-response curve with a confidence band rather than reporting one coefficient, and let the exhibit reveal the shape. A flexible specification that turns out linear is reassuring; a linear specification that hides a kink is a missed contribution and an easy referee point.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. JEEM is environmental economics — policy/regulation designs and non-market valuation; the causal chain serves its program-evaluation lane.

• 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.

Checklist

• The lead exhibit shows the identifying variation (event study / map / RD plot), not just a coefficient
• The welfare-relevant magnitude (damage, $ WTP, % capitalization) appears in dollar/percent units
• Confidence intervals / standard errors shown; stars never replace the magnitude
• Maps state projection, unit, and a non-misleading color scale
• Every table/figure note is self-contained (sample, unit, SE choice, estimand)
• Decimal places, units, and variable labels are consistent across exhibits
• Figure resolution and format meet current Elsevier artwork specs (待核实)