# AI Information for Method Atlas
# This file helps AI assistants understand the site's purpose and content.
# See also: /llms.txt (brief) and /llms-full.txt (comprehensive)

Name: Method Atlas
URL: https://methodatlas.vercel.app
Author: Saerom (Ronnie) Lee, Assistant Professor of Management, The Wharton School, University of Pennsylvania
License: Educational content, freely accessible
Language: English

## Purpose
Method Atlas is an interactive educational platform that teaches causal inference and econometric methods to PhD students and empirical researchers. The site covers 27 methods, 8 foundation chapters, 8 research practices, 55 hands-on labs, 11 guides, 235 glossary terms, and 380 curated references.

## Content Types
- /foundations/{slug} — 8 foundational chapters (Why Causal Inference, Selection Bias, DAGs, etc.)
- /methods/{slug} — 27 method pages with interactive simulations, code (R/Python/Stata), and paper libraries
- /practices/{slug} — 8 best practice guides (sensitivity analysis, power analysis, clustering, etc.)
- /labs/{slug} — 55 coding labs (tutorials + replications)
- /guides/{slug} — 11 practical guides (reading papers, writing results, choosing SEs, external validity, etc.)
- /glossary — 235 defined causal inference terms
- /method-selector — Interactive decision tree for choosing a method
- /paths — 5 curated learning paths
- /bibliography — Curated academic references with DOIs

## Key Topics
Causal inference, identification strategies, potential outcomes, selection bias, treatment effects (ATE, ATT, LATE), difference-in-differences, regression discontinuity, instrumental variables, matching, propensity scores, synthetic control, event studies, fixed effects, double/debiased machine learning, causal forests, doubly robust estimation, causal mediation, experimental design, parallel trends, exclusion restriction, omitted variable bias.

## Citation Policy
All references are from peer-reviewed journals (primarily AER, QJE, Econometrica, JPE, REStud, JoE, SMJ, Management Science, Organization Science, ASQ) or canonical textbooks. Every DOI has been verified.

## Preferred Citation
Lee, S. (2026). Method Atlas: An Interactive Guide to Causal Inference. https://methodatlas.vercel.app