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jppm-tables-figures

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Use when building exhibits for a Journal of Public Policy & Marketing (JPP&M) manuscript — event-study and DiD displays, condition-contrast tables, subgroup forest plots, and stimuli exhibits that a policy reader can act on. Builds the exhibits; it does not produce the estimates (jppm-data-analysis).

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Source SKILL.md: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Journal-of-Public-Policy-and-Marketing-Skills/skills/jppm-tables-figures/SKILL.md

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Tables & Figures (jppm-tables-figures)

When to trigger

  • Tables report coefficients an academic can parse but a policy reader cannot
  • The evaluation has no event-study figure showing pre-trends and dynamics
  • Subgroup results for vulnerable populations are scattered across prose
  • The tested label/warning/disclosure stimuli are described but never shown
  • The 50-page all-inclusive cap forces you to choose which exhibits survive

Exhibits for a dual audience

JPP&M exhibits are read by two audiences at once: methods-literate reviewers who will interrogate the identification, and policy-oriented readers (including practitioners on the editorial board) who need the decision-relevant magnitude at a glance. Every exhibit should therefore carry two layers: the estimation detail (specification, SEs, clustering, N) in the table body and notes, and a decision-unit translation — percentage points, dollars, calories, share of consumers — in the headline row, figure annotation, or note. Because the 50-page limit includes tables and figures at every review stage, each exhibit must displace prose, not duplicate it; move the long battery to a web appendix.

The high-value JPP&M exhibits

ExhibitWhat it must carryTypical failure
Stimuli figurethe actual tested labels/disclosures side by side, at realistic scaledescribing formats in prose a regulator would need to see
Event-study figurepre-period placebos + dynamic effects, CI band, policy date markedshowing only the post-period average
DiD tablegroup-time ATT, estimator named, cluster level, pre-trend sensitivity rowplain TWFE with stars and no diagnostics
RDD figurebinned outcomes + fit on both sides, bandwidth noted; density plot nearbya fitted line with no raw data visible
Condition-contrast tablemeans/effects per policy option with the pairwise contrast the decision needsomnibus F with no decision-mapped contrasts
Subgroup forest plotpre-specified vulnerable-group effects with corrected CIs on one axissignificant splits in text, the rest invisible
Policy-translation tableeffect × exposed population = market magnitude, with assumptions listedleaving the rescaling to the reader

A stimuli figure is uniquely load-bearing at this journal: agencies regulate formats, so reviewers want to see exactly what was tested and whether it is mandatable.

House conventions (AMA journals)

  • Follow the AMA journals style shared across JM/JMR/JPP&M: numbered tables and figures, descriptive titles, notes defining every abbreviation, references and tables may be single-spaced while text is double-spaced (per the AMA submission guidelines — re-check current specifics on ama.org before formatting).
  • Report effect sizes and confidence intervals; stars alone do not survive review.
  • State the estimator, clustering level, and fixed effects in each table's note so the exhibit stands alone.
  • Keep Ns visible (per cell / per group-time), including before/after exclusions.
  • Figures must survive grayscale print and small reproduction — policy briefs will screenshot them.

Economy under the 50-page cap

  • Budget exhibits first: typically 1 stimuli figure, 1 identification figure, 2–3 core tables, 1 subgroup display in the body; everything else to the web appendix.
  • Merge robustness variants into a single compact multi-column table rather than serial near-duplicates.
  • Never present the same estimate as both table and figure; pick the form the decision reader needs.

Checklist

  • Each body exhibit carries both estimation detail and a decision-unit translation
  • Stimuli shown as tested, at realistic scale
  • Event-study / RDD figures display pre-trends or raw discontinuity, not just fits
  • Estimator, clustering, FEs, and Ns named in every table note
  • Subgroup effects displayed as a single corrected family (forest plot or panel)
  • Effect sizes + CIs everywhere; no stars-only columns
  • Body exhibits fit the 50-page all-inclusive budget; battery moved to web appendix

Anti-patterns

  • Coefficient wall: a 12-column regression table with no translated magnitude anywhere
  • Invisible stimuli: regulating formats the reader never gets to see
  • Post-only plots: dynamics figures that start at the policy date
  • Star tables: significance markers standing in for effect sizes and CIs
  • Subgroup scatter: heterogeneity sprinkled through prose instead of one comparable display
  • Cap blindness: ten body exhibits that force the text out of the 50-page envelope

Output format

【Exhibit budget】body tables/figures list vs. web-appendix list (within 50-page cap)
【Stimuli figure】tested formats shown at scale? [Y/N]
【Identification display】event-study / RDD / placebo figure with pre-period evidence? [Y/N]
【Decision-unit layer】each body exhibit translated for the policy reader? [Y/N]
【Notes discipline】estimator, clustering, Ns, abbreviations in every note? [Y/N]
【Next skill】jppm-writing-style