great-econometrics

Great-Econometrics Plugin

A comprehensive econometrics plugin for end-to-end empirical research automation — from research question scoping, literature review, and identification strategy design, through data fetching and cleaning, econometric modeling, code generation, results analysis, table and figure production, full-paper writing, and conference presentation.

Installation

Via Claude Code Plugin (Recommended)

# Step 1: Add the marketplace
/plugin marketplace add zhouziyue233/great-econometrics

# Step 2: Install the plugin
/plugin install econometrics@great-econometrics

Manual Installation

git clone https://github.com/zhouziyue233/great-econometrics.git
cd great-econometrics
/plugin install .

Overview

This plugin implements a 9-phase iterative empirical research workflow targeting the standards of Top-5 economics journals (AER, QJE, JPE, ReStud, Econometrica). Each phase maps to dedicated slash commands, skills, and agents that work together under a unified system prompt in CLAUDE.md.

[Phase 1] Research Question
     ↕
[Phase 2] Literature Review
     ↕
[Phase 3] Identification Strategy
     ↕
[Phase 4] Data Preparation & EDA
     ↕
[Phase 5] Econometric Model
     ↕
[Phase 6] Code Execution
     ↕
[Phase 7] Results & Visualization
     ↕
[Phase 8] Robustness & Heterogeneity
     ↕
[Phase 9] Full Paper Writing
     ↕
Peer Review Response & Iteration

File Structure

great-econometrics/
├── .claude-plugin/
│   ├── plugin.json              # Plugin metadata
│   └── marketplace.json         # Claude marketplace
├── CLAUDE.md                    # Agent 9-phase workflow
├── .env                         # Environment variables
│
├── shared/                      # Cross-command reusable modules
│   ├── context-reader.md        # Upstream file reading protocol (Step 0)
│   └── output-standards.md      # LaTeX/figure/table formatting standards
│
├── hooks/
│   └── hooks.json               # SessionStart banner + Stop phase-completion prompt
│
├── commands/                    # Slash commands — one per workflow phase
│   ├── question.md              # /question  · Phase 1: Research question scoping
│   ├── analyze.md               # /analyze   · Phase 3: Identification strategy memo
│   ├── data.md                  # /data      · Phase 4: Data fetch, clean & EDA
│   ├── model.md                 # /model     · Phase 5: Formal model specification
│   ├── code.md                  # /code      · Phase 6: Code generation & execution
│   ├── plot.md                  # /plot      · Phase 7: Tables & figures
│   ├── robustness.md            # /robustness· Phase 8: Robustness & hetero checks
│   ├── write.md                 # /write     · Phase 9: Full paper drafting
│   └── present.md               # /present   · Beamer slides (optional, no phase number)
│
├── agents/
│   └── checker.md         # Parallel robustness/heterogeneity/mechanism checks (Phase 8)
│
└── skills/                      # Estimation, output & utility skills
    │
    ├── — Causal Inference —
    ├── iv-estimation/           # IV / 2SLS
    ├── did-analysis/            # DID / TWFE, event study, staggered DID
    ├── rdd-analysis/            # Sharp / fuzzy RDD, bandwidth selection, validity tests
    ├── synthetic-control/       # Abadie SCM, augmented SCM, synthetic DID, etc
    ├── ml-causal/               # Causal forest (GRF), Double ML, etc
    │
    ├── — Regression & Panel —
    ├── ols-regression/          # OLS, assumption tests, robust / clustered SE
    ├── panel-data/              # FE / RE, two-way FE, Hausman, dynamic panels (GMM)
    │     └── references/
    │           ├── panel-reference.md       # Diagnostics: poolability, serial corr, unit roots, cointegration
    │           └── panel-ldv-advanced.md    # Advanced: FD estimator, conditional logit, PPML, Cox PH
    ├── time-series/             # ADF / KPSS, ARIMA, VAR / VECM, etc
    │
    ├── — Output & Presentation —
    ├── results-analysis/        # Descriptive stats, coefficient interpretation, etc
    ├── table/                   # Multi-model regression tables, LaTeX
    ├── figure/                  # Event study, binscatter, RDD, density, coefplot
    ├── beamer-ppt/              # LaTeX Beamer slide decks for conferences & seminars
    │
    ├── — Data & Literature —
    ├── data-pipeline/           # End-to-end: API fetch + clean + validate
    ├── literature-review/       # Phase 2: search, summarise & synthesise literature
    ├── scrapling/               # Web scraping toolkit for custom data collection
    │
    ├── — Writing —
    ├── paper-writing/           # Full paper drafting to Top-5 journal standards
    │
    └── — Software Reference —