Claude (by Anthropic) has become a widely-used AI assistant among economists for tasks ranging from coding and data analysis to writing and literature review. Below is a curated list of resources from academic and private sector economists on how to use Claude effectively.

Individual Guides

• Claude Code for Applied Economists — Paul Goldsmith-Pinkham (Yale SOM / NBER), via Markus' Academy / Princeton BCF. A seven-episode mini-series covering getting started, data analysis, web scraping (e.g. SEC EDGAR filings), and building research workflows with Claude Code.
• My Claude Code Setup — Pedro Sant'Anna (GitHub template). A detailed workflow guide using 10 agents and 19 custom commands, with a MEMORY.md pattern for persistent context across research sessions. Originally built to produce 800+ PhD lecture slides.
• AI for Economists — Jesse Lastunen. One of the earliest practical guides, with example prompts and model responses across ideation, writing, background research, coding, data analysis, and mathematical derivations. Oriented toward development economics.
• How I've Been Using Claude for the Past 6 Months — Tyler Ransom (labor economist). First-person account covering Claude's Artifacts and Projects features, iterating on Stata programs, and a working economist's day-to-day Claude workflow.

Anton Korinek (UVA / NBER)

• Generative AI for Economic Research: Use Cases and Implications for Economists — Lead article in the Journal of Economic Literature, December 2023. Covers six use areas with worked examples: ideation, writing, background research, data analysis, coding, and mathematical derivations. Maintained with semi-annual updates.
• Generative AI for Economic Research: LLMs Learn to Collaborate and Reason — December 2024. Practical update covering new reasoning capabilities, collaborative workspaces like Claude's Artifacts, and LLM-powered search.
• AI Agents for Economic Research — August 2025. How-to guide for agentic workflows, multi-step research automation, and Claude Code for economists.
• Generative AI for Economic Research — Companion newsletter to his JEL paper, updated every 4–6 months with new capabilities, use cases, and tools. Archives include updates on LLM reasoning, deep research agents, and Claude Code.

Scott Cunningham (Baylor University)

• Scott's Mixtape Substack — Extensive series (38+ posts) on using Claude Code for economics research, causal inference, and teaching. Cunningham is writing a book titled AI Agents for Research Workers based on this work.
• Claude Code 27: Research and Publishing Are Now Two Different Things — Examines how Claude Code is changing the research process, including fully automated paper pipelines.
• Claude Code Changed How I Work (Part 1) — Practical walkthrough of integrating Claude Code into a daily academic workflow.

Autonomous Econ

• How Economists and Financial Analysts Can Build Faster with Claude Code — Covers what sets Claude Code apart, how to build interactive visualizations, and practical use cases for economics and finance professionals.
• The 10 Claude Code Habits That Turn Your Workflow Into a Flywheel — Practical habits for economists and finance professionals to build compounding productivity with Claude Code.

Open-Source Collections

• Awesome Econ AI Stuff — Antonio Mele. A curated collection of Claude Code skills tailored for economists, covering Stata workflows, LaTeX writing, PDF parsing, and research ideation. Skills follow the open SKILL.md standard and work with Claude Code, Cursor, and other AI coding tools.
• Awesome AI for Economists — OpenEcon team (GitHub). A comprehensive list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Includes agent frameworks, causal inference tools, and an Econ Writing Skill.

Institutional Resources

• AI Tools for Economists and Policy Analysts — American Enterprise Institute (AEI). Practical guide positioning Claude as the leading model for coding among major LLMs. Covers advanced prompting, chain-of-density summarization, and tool comparisons for policy analysis workflows.

Relevant Skills to Explore (linking is not endorsement)

• Causal Inference Skill — Alexandre Andorra. A Claude Code skill for production-grade Bayesian causal inference using PyMC, CausalPy, and DoWhy. Enforces a DAG-first workflow covering DiD, synthetic control, regression discontinuity, instrumental variables, propensity score weighting, and structural modeling.

Lastly, if for some reason you have to use Stata…

• Optimize Stata with Claude Code: A Step-by-Step Guide — Aniket Panjwani. Covers how to set up and run Claude Code effectively with Stata for econometric workflows.
• Stata Commands to Run ChatGPT, Claude, Gemini, and Grok — The Stata Blog. Official Stata documentation for calling Claude directly from within Stata via API.