Jfi tables figures

Tables & Figures (jfi-tables-figures)

When to trigger

• Building or revising the table/figure set for a JFI submission
• A referee found the exhibits hard to read or under-documented

What JFI exhibits must do

JFI exhibits are read by banking and intermediation specialists, so they must be self-contained and institution-aware:

• Summary / sample table first: the bank/loan/firm universe, the data source (Call Reports, DealScan, HMDA, etc.), every filter, and units — readers must reconstruct the sample from the notes alone.
• Define institutions and variables in the notes: what counts as a "bank," how credit/balance-sheet quantities are measured, the treatment and its timing.
• Main result table: the headline specification with the FE structure visible, standard errors and the clustering level stated, and the mechanism estimate foregrounded.
• Event-study / dynamics figure: for DID designs, a pre-trend-and-effect plot is often the single most persuasive exhibit; show confidence bands and the reference period.
• Robustness exhibits: alternative samples, windows, and specifications, compactly tabulated.
• Theory papers: a clean figure of the mechanism or comparative statics, with parameters in the note.

House conventions

Number exhibits and call them out in order; numbered manuscript sections (1, 1.1) host them. Notes should name the estimator, sample, clustering, and significance markers. There is no fixed exhibit count, but optional Highlights are capped at 3-5 bullets of 85 characters each.

Worked exhibit plan: a capital-shock transmission paper (illustrative)

#	Exhibit	The job it does for a JFI referee
T1	Sample construction: register universe → multi-bank firms	Lets the reader reconstruct the sample and see what firm×time FE costs
T2	Bank and firm summaries by exposure	Balance: treated and control banks comparable pre-shock
T3	Main: loan growth on the shock; columns no FE → firm FE → firm×time FE	The supply channel, with demand absorption visible across columns
F1	Event study around the rule change	Pre-trends plus dynamics — often the single decisive exhibit
T4	Mechanism heterogeneity: relationship intensity, bank capital	Shows the intermediation channel, not generic credit tightening
T5	Compact robustness grid, one row per named threat	The battery without appendix sprawl
F2	Real effects: firm outcomes by exposure	The consequence panel that earns the policy sentence

The fixed-effect column progression in T3 is a JFI-native convention: the coefficient's movement across columns is itself evidence on sorting and demand, so interpret it in the text. If T4's heterogeneity is the contribution's heart, consider promoting it ahead of the robustness grid — exhibit order should mirror the argument, not the order the regressions were run.

Exhibit-count calibration (hedged)

Accepted empirical papers in this literature typically run on the order of six to nine main-text exhibits with further robustness in an online appendix; theory papers often carry two to four comparative-statics figures. These are reading-based calibrations — no cap is stated; confirm formatting specifics against the journal's current author guidelines.

Exhibit-level referee pushback, and fixes

• "I cannot tell which sample column 4 uses" → put N, sample, and FE rows in every column.
• "The event study has no reference period marked" → label the omitted period and shade the announcement.
• "The heterogeneity split shows no test" → report the interaction p-value, not two stars side by side.
• "The comparative-statics figure hides the friction" → for theory papers, plot the outcome against the friction parameter itself (monitoring cost, equity-issuance cost), with the no-friction benchmark as a dashed reference line, so the figure literally shows what intermediation adds.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: execution-with-mcp.

• Tables: etable (multi-model columns) or did_summary_to_latex straight from the result_id — one variable definition, one set of numbers, body and appendix in sync.
• 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 (from the result's diagnostics) and states the magnitude in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Anti-patterns

• A results table a reader cannot map to a sample or a clustering choice
• Star-soup with no economic-magnitude discussion
• A DID paper with no event-study/pre-trend figure
• Figures whose axes, units, or parameters are undefined

Output format

【Sample table】source + filters + units documented? [Y/N]
【Main table】FE structure + clustering visible? [Y/N]
【Dynamics figure】event-study/comparative-statics present? [Y/N]
【Notes】self-contained (estimator, sample, SE)? [Y/N]
【Next skill】jfi-writing-style