AI Skill for Empirical Economics: Master AER Identification

AI Skill for Empirical Economics: Master AER Identification

Enhance your empirical economics research with the AI Skill for Empirical Economics: Master AER Identification. Specifically designed for economists using AI coding agents like Claude Code, Cursor, and Codex, this skill expertly navigates through causal identification strategies critical for the American Economic Review (AER) track. Whether you are selecting, implementing, or stress-testing your manuscript's design, this tool ensures robust analysis, guiding you through complex methodologies effortlessly.

What this skill does

• Assesses the identification strategy needed for empirical economics research, tailoring approaches such as difference-in-differences (including staggered designs), instrumental variables (including weak-IV-robust inference), regression discontinuity, synthetic control, or shift-share/Bartik according to your manuscript needs.
• Routes among canonical designs and modern defaults, ensuring your methodology aligns with AER standards and anticipates likely referee concerns.
• Evaluates your project’s empirical strategy at its inception or during revisions to determine if the chosen approach is viable or if it requires a fundamental redesign with `aer-topic-selection` guidance.

Use cases

• Developing the empirical strategy for a new economics manuscript and ensuring the identification strategy withstands scrutiny.
• Revising a manuscript that faced rejection due to weak identification; rebuilding the strategy armed with robust diagnostics.
• Choosing between potential identification strategies like DiD or regression discontinuity to see which fits your research question best.

Technical details

• Utilizes advanced capabilities found in AI coding agents such as Claude Code, Cursor, and Codex, emphasizing academic-writing and AI application within empirical economics.
• Employs an in-depth decision tree to determine if your project's treatment assignment necessitates an RCT analysis or a sophisticated design using sharp thresholds, discrete policy changes, or endogenous regressors.

Source & Licence

This package is built on open-source work published by brycewang-stanford (brycewang-stanford/AER-Skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.