技能 数据科学 定量经济学表图写作规范

定量经济学表图写作规范

v20260724
qe-tables-figures
本指南详细介绍了量化经济学(QE)稿件中表格和图表的撰写规范。核心要求包括:用标准误差和置信区间替代显著性星号;将图表嵌入正文;确保所有展示的证据都是自洽、专业且符合学术期刊要求的,以提高学术报告的严谨性。
获取技能
366 次下载
概览

Tables & Figures (qe-tables-figures)

When to trigger

  • Tables still mark significance with asterisks or boldface (QE forbids this)
  • Exhibits are dense and the key quantity is hard to find
  • Figures/tables are collected at the end instead of placed in-text
  • You are preparing final files and need the right formats and notes

QE house rules for exhibits (source map refreshed 2026-06-20)

QE applies specific presentation rules that differ from most journals:

  • No asterisks, no boldface to denote statistical significance. Instead, report standard errors and confidence / coverage sets. Let magnitude and uncertainty speak; do not encode significance with symbols.
  • Place figures and tables in-text on the relevant page, not gathered at the end of the manuscript.
  • Final accepted files are preferred as LaTeX source with .eps / .jpg figures; the submitted PDF embeds exhibits in-text.
  • The manuscript is 1.5/double-spaced, ≥12pt, ≤32 lines per page — design exhibits to remain legible under those constraints.

Table craft

  • Lead with the estimate(s) the paper is about; put the headline quantity where the eye lands first.
  • Under each estimate, show its standard error (and a confidence/coverage set where the inference is non-standard, e.g., weak-IV or boundary parameters).
  • Self-contained notes: estimand, sample, units, clustering level, estimator, and how uncertainty is computed — so the table stands alone.
  • For structural work, separate targeted moments (data vs. model) from untargeted moments used for validation; report parameter estimates with standard errors.

Figure craft (QE is quantitatively visual)

  • Event-study plots with leads/lags and confidence bands; model-fit overlays (data vs. simulated moments); counterfactual curves with uncertainty bands.
  • Show uncertainty visually (bands / intervals) rather than implying it with significance stars.
  • Avoid chartjunk (no 3D, minimal color); vector output for print resolution.
  • Caption states what the reader should conclude, with the key number in the text.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. Quantitative Economics spans structural and applied micro; the chain serves its reduced-form lane, structural estimation uses its own toolkit.

  • 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

  • No asterisks or boldface for significance anywhere in tables or figures
  • Every estimate shows a standard error; coverage/confidence sets where inference is non-standard
  • Figures and tables placed in-text on the relevant page (not at the end)
  • Notes are self-contained (estimand, sample, units, estimator, inference)
  • Structural: targeted vs. untargeted moments shown; parameters with SEs
  • Final files prepared as .eps / .jpg for the LaTeX source at acceptance
  • Exhibits legible under 12pt / 1.5-spacing / ≤32-lines constraints

Anti-patterns

  • Marking significance with *** / boldface (QE explicitly forbids this)
  • A 9-column regression table with the key estimate buried
  • Collecting all figures/tables at the end of the manuscript
  • Figures with no uncertainty shown, leaning on stars in a companion table
  • Notes that require the body text to interpret the exhibit

Reading an exhibit the way a QE referee does

What the referee looks for Pass condition at QE
significance encoding no asterisks/boldface; SE under each estimate
non-standard inference coverage/confidence set shown (weak-IV, boundary)
structural fit targeted vs. untargeted moments separated
placement exhibit on the page that discusses it, not at the end
self-containment note carries estimand, sample, units, estimator, clustering

Worked vignette: rebuilding a structural-fit table (illustrative)

A draft reports a 6-column table marking three coefficients with asterisks and stacking all figures after the references. The QE rebuild: a moment-fit table with two blocks — targeted moments (data 0.31 vs. model 0.30; data 0.18 vs. model 0.19) and untargeted moments used as validation (data 0.44 vs. model 0.41) — and a parameter block showing each estimate with its standard error (e.g., risk aversion 1.8, s.e. 0.3). No stars anywhere; the event-study figure moves in-text beside its discussion with a 95% band on each lead and lag. (Numbers illustrative.) The reader now sees fit, parameters, and uncertainty without decoding symbols.

Referee pushback and the exhibit fix

  • "Significance is encoded with stars — remove them." → Replace with standard errors and, where inference is non-standard, a coverage set.
  • "I can't tell which moments are targeted." → Split the table into targeted and untargeted blocks; label the validation moments.
  • "The figure hides its uncertainty." → Add confidence bands to event-study and counterfactual curves; never imply significance via a companion star table.

Output format

【Significance reporting】asterisk/bold-free; SEs + coverage sets shown? [Y/N]
【Placement】figures/tables in-text on the relevant page? [Y/N]
【Headline quantity】lands first in the main table? [Y/N]
【Structural exhibits】targeted vs. untargeted moments + params w/ SEs? [Y/N or N/A]
【Final files】.eps/.jpg ready for LaTeX source? [Y/N]
【Next step】qe-writing-style
信息
Category 数据科学
Name qe-tables-figures
版本 v20260724
大小 6.25KB
更新时间 2026-07-29
语言