claudeindex
Plugin

empirical-analysis-python

Explicit 8-step empirical-analysis pipeline in the traditional Python econometrics stack (pandas + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml): cleaning -> variable construction -> Table 1 -> diagnostics -> estimation (OLS/IV/DID/RDD/PSM/SCM/DML/Causal Forest) -> robustness -> mechanism/heterogeneity/mediation -> publication-ready tables & figures. Includes epidemiology and ML-causal modes.

Installation

1

Add the marketplace

/plugin marketplace add brycewang-stanford/Auto-Empirical-Research-Skills
2

Install plugins

/plugin

Run these commands in Claude Code to add this plugin to your environment. The marketplace must be added before you can install its plugins.

Repository & Links

Plugin Source

View Plugin Code

GitHub Repository

brycewang-stanford/Auto-Empirical-Research-Skills

Details & Metadata