Jebo tables figures

Tables & Figures (jebo-tables-figures)

When to trigger

• Treatment differences are buried in a wall-of-coefficients regression table
• A reader cannot see the behavioral effect without reading the surrounding paragraph
• Experimental dynamics (learning over rounds, by-period contributions) are not visualized
• The figure shows means but hides the distribution the behavioral story depends on
• You are unsure whether significance markers belong in a JEBO exhibit

What a JEBO exhibit must do

The reader should see the behavioral comparison — treatment vs. control, by group or over time — before reading a word of text. JEBO's experimental core makes a few exhibit types load-bearing:

• Treatment-comparison plot. Bar/dot plot of the outcome by treatment with confidence intervals; the headline contrast is the visual focus, not a footnote.
• Dynamics plot. For repeated games / multi-round experiments, plot the outcome by period and treatment so learning, decay, or convergence is visible (the round-by-round graph is a JEBO signature).
• Distribution plot. Where the mechanism is about heterogeneity (e.g., types, bimodality of contributions), show the full distribution (CDF, histogram, or beeswarm), not just the mean — a difference in means can hide a difference in shape.
• Regression table. Used to support the figure, with the design-relevant comparison up top, clustered SEs, and pre-registered/primary specification flagged.

Exhibit decisions by what the result is about

The behavioral claim is about…	Lead exhibit	Common mistake
A level difference across treatments	bar/dot plot with CIs	a 6-column table where the contrast is row 4
Change over repeated interaction	by-period line plot per treatment	reporting only the pooled average
Heterogeneity / types	distribution / CDF / beeswarm	a single mean hiding bimodality
A predicted ordering of arms	ordered plot matching the model's prediction	unordered table that obscures the ranking
A structural/behavioral estimate	parameter plot with CIs + fit overlay	a table of parameters with no fit visualization

House-style and Elsevier mechanics

• Confidence intervals over bare asterisks. Show SEs/CIs; let the reader judge. (Elsevier permits significance stars, but a behavioral comparison is far more persuasive shown as overlapping/non-overlapping intervals; reserve any asterisks for support tables, never as the sole evidence.)
• Self-contained captions: a referee should understand the exhibit without the body text — define treatment, unit, sample, error-bar meaning, and n.
• Figures legible in grayscale (Elsevier print) — use patterns/markers, not color alone.
• Report n per cell and the unit of observation (subject vs. subject-period vs. session); cluster the inference accordingly.
• Number tables/figures and place near first mention; high-resolution vector figures per Elsevier artwork specs (检索于 2026-06；以官网为准).

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. JEBO spans behavioral/experimental and applied micro; randomization inference for experiments, DiD/IV for observational claims.

• 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 headline behavioral comparison is visible in the lead figure before any prose
• Repeated-interaction results have a by-period plot per treatment
• Heterogeneity claims show the distribution, not only the mean
• Confidence intervals shown; significance stars are not the only evidence
• Captions are self-contained (treatment, unit, n, error-bar definition)
• Figures readable in grayscale; n-per-cell and clustering level reported
• Exhibit ordering matches the model's predicted ordering where one exists

Anti-patterns

• The main treatment effect appearing only as a coefficient in a dense table
• A bar of means concealing a bimodal contribution distribution
• Asterisks doing all the persuasive work with no CIs
• Color-only figures that collapse in grayscale print
• Captions that require the body text to interpret
• Reporting subject-period n as if it were independent subjects (wrong clustering)

Output format

【Lead exhibit】treatment-comparison / by-period dynamics / distribution / parameter plot
【What it shows at a glance】<the behavioral contrast>
【Inference shown】CIs / SEs (asterisks support-only)
【Unit + n per cell】<subject / subject-period / session>; clustering:
【Grayscale-safe + self-contained caption】[Y/N]
【Next step】jebo-writing-style