Aer Tables Figures logo

Aer Tables Figures

Community
brycewang-stanford
aer-tables-figures

Use when constructing or revising regression tables, descriptive statistics tables, or figures after results are estimated and before submission for an AER, AER:Insights, or AEJ manuscript. Implements AER booktabs house style, regression-table layout, and figure-note conventions.

Overview

Publisherbrycewang-stanford
RepositoryAER-Skills
Skill nameaer-tables-figures
Stars
62
Forks
11
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by brycewang-stanford on GitHub. Read the source before you install it.

Installation

Install the Aer Tables Figures AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/brycewang-stanford/AER-Skills/tree/main/skills/aer-tables-figures
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/brycewang-stanford/AER-Skills.git /tmp/AER-Skills
mkdir -p .claude/skills
cp -r /tmp/AER-Skills/skills/aer-tables-figures .claude/skills/aer-tables-figures
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aer Tables Figures in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aer Tables Figures on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aer Tables Figures is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AER Tables and Figures

Overview

Reviewers in economics read tables first. A misformatted, overstuffed, or note-bloated table signals carelessness and increases desk rejection probability independently of the result quality. This skill enforces AER house style and the "one claim per exhibit" discipline.

Hard AER conventions:

  • Captions go below figures, above tables.
  • Tables use booktabs-style horizontal rules (no vertical rules).
  • Figure notes use the tablenotes / figurenotes environment.
  • No color-only encoding — figures must remain legible in grayscale and to color-blind readers.

When to Use

  • Drafting the main results table
  • Auditing tables before submission
  • An R&R demands consolidation or restructuring of tables
  • Figures look noisy, dense, or "Excel-default"

The Five Canonical Tables

Every empirical AER paper has approximately:

  1. Summary statistics — N, mean, SD, min, max for the analysis sample. One table; ≤ 15 rows. Group by treatment/control if relevant.
  2. Variable definitions — source, construction, units. Push to appendix if main paper is tight on space.
  3. Balance / first stage — covariate balance (RCT, RD, matched DiD) or first-stage coefficients (IV).
  4. Main result — 3-7 columns, each a progressively richer specification. The column the referee will quote is column (4) or (5).
  5. Robustness / heterogeneity — one table consolidating the most important checks.

If your paper needs more than ~7 main-text tables, the contribution is unfocused. Move secondary tables to the appendix.

Main Results Table Layout

Standard AER regression table:

                         (1)         (2)         (3)         (4)         (5)
                         OLS         OLS         OLS         IV          IV

Treatment              0.123***    0.118***    0.115***    0.142***    0.138***
                      (0.041)     (0.040)     (0.039)     (0.052)     (0.051)

Controls              No          Yes         Yes         Yes         Yes
Unit FE               No          No          Yes         Yes         Yes
Year FE               No          No          Yes         Yes         Yes
Sample                Full        Full        Full        Full        Balanced

Observations          12,453      12,453      12,453      12,453      11,892
R-squared             0.024       0.118       0.341       0.310       0.317
First-stage F                                              42.3        41.1

Notes: Standard errors in parentheses, clustered at the [unit] level. *** p<0.01, ** p<0.05, * p<0.1.

Column Discipline

  • Progress from simple to rich. Column 1 is the rawest specification; later columns add controls / FE / IV.
  • Same point estimate row across all columns. Easy visual comparison.
  • Indicator rows for what's in the spec — Controls / FE / Sample — rather than burying that information in notes.
  • Report observations and R² (or pseudo-R², or first-stage F) for every column.

Significance Stars

AER convention: *** p<0.01, ** p<0.05, * p<0.1. Some authors and Angrist-Pischke prefer letter superscripts (a, b, c) to save space. Either is acceptable; the journal does not enforce a single convention. Do not mix.

Standard Errors

  • Report standard errors in parentheses below coefficients, not next to them.
  • State the clustering or HAC structure in the note, not in the column header.
  • For few clusters (< 50), report wild cluster bootstrap p-values.
  • For weak-IV settings, report AR confidence intervals alongside or instead of conventional SEs.

Coefficient Rows

  • Order coefficients by importance — treatment first, then mechanism interactions, then controls (or omit controls from main table; report in appendix).
  • Use intuitive variable labels, not raw variable names. "log(Wage)" beats "lnwage".
  • Round to 2-3 significant digits of the standard error; coefficient precision should match.

Tool Recipes

Stata

  • estout / esttab — the canonical AER pipeline. esttab using table.tex, b(3) se(3) star(* 0.10 ** 0.05 *** 0.01) booktabs alignment(D{.}{.}{-1}) ...
  • outreg2 — older, still common
  • coefplot — for figure-based coefficient presentation

R

  • fixest::etable — produces near-AER tables out of the box; supports \textsf{...} styling and booktabs
  • modelsummary — flexible, supports gt/kable/LaTeX backends; explicit options for AER conventions
  • stargazer — older; works but less customizable

Python

  • stargazer-py or pystata — for users mirroring Stata output

Figures

Hierarchy

  1. Coefficient plots > regression tables when the audience needs to compare 8+ specifications visually. Use coefplot (Stata) or ggplot2 + geom_pointrange (R).
  2. Event-study plots for any DiD with multiple periods. Always show pre-period.
  3. Binned scatter / RD plots for RDD designs. Use rdplot (Stata/R).
  4. Maps for spatially heterogeneous treatments.

Format Rules

  • Vector format (PDF, EPS) for production. AER does not accept raster figures for final submission.
  • Sans-serif fonts (Helvetica, Arial) at minimum 9 pt for axis labels.
  • No 3D plots. No pie charts.
  • Color sparingly and accessibly — viridis / cividis palettes; avoid red-green.
  • One main claim per figure. Split panels rather than overlay six lines.

Figure Notes

latex
\begin{figure}[t]
  \centering
  \includegraphics[width=0.8\textwidth]{fig_event_study.pdf}
  \caption{Event-Study Estimates of the Effect of Policy on Outcome}
  \label{fig:event}
  \begin{figurenotes}
    Notes: This figure plots Callaway-Sant'Anna ATT(g,t) estimates aggregated by event time.
    The omitted period is $t = -1$. Bars show 95\% confidence intervals based on the
    multiplier bootstrap. Sample restricted to [...]. N = [...].
  \end{figurenotes}
\end{figure}

What Notes Must Include

  1. What estimator / method produced the figure
  2. The omitted/reference category
  3. Confidence interval type and coverage
  4. Sample restrictions
  5. N (observations or clusters)

Anti-Patterns

  • 14-column main results table — readers cannot scan
  • Standard errors in brackets and parentheses in the same paper
  • Coefficient magnitudes hidden behind significance stars; magnitudes are what referees want
  • "Notes: See text." in the figure caption — useless to a reader skimming
  • Figures rendered in PowerPoint Auto-format colors
  • Inconsistent decimal precision across rows
  • Variable names from the dataset showing in the table ("hh_inc_2017" instead of "Household Income, 2017 USD")

Pre-Submission Checklist

  • All tables use booktabs rules; no vertical bars
  • All captions positioned correctly (above for tables, below for figures)
  • Significance star convention consistent across all tables
  • Every table note states the SE structure, sample, and N
  • Every figure has a notes block specifying method, CI, sample, N
  • Figures are vector format and legible in grayscale
  • No table exceeds page width or wraps awkwardly
  • Coefficient row order is consistent across tables

Repository Resources

Bundled with the installed skill, no repository checkout needed --- read it before the repo resources below:

  • references/exhibit-cookbook.md --- booktabs anatomy, export snippets, notes template, figure rules

When working from the AER-skills repository or plugin bundle, load only the relevant table/figure scaffold:

  • Stata: templates/stata/06_tables.do
  • R: templates/r/06_tables.R
  • Python: templates/python/tables.py

Handoff

text
MAIN TABLES: <count>
APPENDIX TABLES: <count>
FIGURES: <count>
STYLE COMPLIANT: <yes / list of remaining fixes>
NEXT SKILL: <aer-consistency | aer-replication>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aer Tables Figures AI skill do?

Use when constructing or revising regression tables, descriptive statistics tables, or figures after results are estimated and before submission for an AER, AER:Insights, or AEJ manuscript. Implements AER booktabs house style, regression-table layout, and figure-note conventions.

Why use Aer Tables Figures on TypingMind?

Because you install it once and use it with any model. Aer Tables Figures is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aer Tables Figures in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brycewang-stanford/AER-Skills/tree/main/skills/aer-tables-figures. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aer Tables Figures?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aer Tables Figures?

As many as you like. As long as a model supports skills, you can use Aer Tables Figures with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aer Tables Figures AI skill free?

Yes. It is published on GitHub by brycewang-stanford under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇