Skills Data Science Designing Academic Exhibits For Finance Research

Designing Academic Exhibits For Finance Research

v20260724
jfi-tables-figures
This guide provides rigorous conventions for constructing self-contained tables and figures for submissions to high-tier finance journals (e.g., JFI). It focuses on structuring exhibits—such as sample construction, event studies, and fixed-effect regressions—to make complex econometric findings accessible and persuasive to banking and intermediation specialists. It guides the visual narrative, ensuring every exhibit is self-sufficient and methodologically transparent.
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Overview

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
Info
Category Data Science
Name jfi-tables-figures
Version v20260724
Size 5.67KB
Updated At 2026-07-28
Language