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README.md

Awesome AI for Economists Awesome

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A curated list of AI tools, libraries, and resources transforming how economists conduct research, teach, and analyze policy — from natural language data access to causal machine learning.

Scope: Tools with specific value for economists. General-purpose AI assistants are in the Appendix.

Highlights

This list is maintained by the OpenEcon team — building open-source infrastructure connecting AI to economics.

  • AI-research-setup — New to this? Start here to set up Claude Code and Codex for economics research on macOS and Windows. GitHub stars
  • OpenEcon Data — Query 330,000+ economic indicators from FRED, World Bank, IMF, and 10+ sources in plain English. Available as web app, Python API, and MCP server. GitHub stars
  • Stata-MCP — Run Stata from VS Code, Cursor, Claude Code, and GitHub Copilot with real-time output, data viewer, and graph display. GitHub stars
  • Econ Writing Skill — AI agent skill for writing economics papers, synthesizing 50+ guides by Cochrane, McCloskey, Shapiro, Head, and other leading economists. GitHub stars
  • Econ Paper Review Skill — AI referee reports for economics papers: verified comments, editing notes, and a step-by-step revision plan before a real referee sees it. GitHub stars
  • Econ Slides Skill — Turn your paper into a professional Beamer talk: conference, seminar, and discussant decks with verified layouts and honest numbers. GitHub stars
  • Econ Auto Research — The vision: an economist-directed AI pipeline from research question to working paper, with adversarial self-refereeing. Star to shape the roadmap. GitHub stars
  • overleaf-sync-now — Keeps local LaTeX in sync with Overleaf so AI coding agents never edit a stale paper. GitHub stars

Contents

MCP Servers for Economic Data

Model Context Protocol (MCP) servers let AI assistants query economic databases directly. Connect Claude, Cursor, or other MCP-compatible tools to live data from FRED, World Bank, IMF, and more.

  • Alpha Vantage MCP - Official server for stocks, forex, commodities, and economic indicators.
  • BEA MCP Server - Exposes U.S. Bureau of Economic Analysis data including GDP, personal income, and regional accounts. GitHub stars
  • BLS MCP Server - Bureau of Labor Statistics data: CPI, unemployment, employment, and wages via BLS API. GitHub stars
  • Census MCP Server - Natural language queries for U.S. Census demographic data.
  • Data Commons MCP Server - Query Data Commons public statistics from Census, World Bank, WHO, and BLS to ground AI answers. GitHub stars
  • ECB MCP Server - Query European Central Bank exchange rates, policy rates, yield curves, and euro-area monetary statistics. GitHub stars
  • Eurostat MCP Server - Query Eurostat APIs for EU statistics with dataset search, filtering, and CSV export. GitHub stars
  • Financial Datasets MCP - Stock market data including prices, financials, and SEC filings via MCP. GitHub stars
  • FRED MCP Server - Access all 800,000+ FRED time series with date filtering and frequency adjustment. GitHub stars
  • IMF Data MCP Server - WEO forecasts, balance of payments, and more from the IMF. GitHub stars
  • Nasdaq Data Link MCP - Access Nasdaq/Quandl financial and economic datasets. GitHub stars
  • OECD MCP Server - Access 5,000+ OECD statistical datasets via SDMX API with prompt templates. GitHub stars
  • OpenEcon - Natural language interface to 330,000+ economic indicators across FRED, World Bank, IMF, and more, with CSV, JSON, and DTA export. GitHub stars
  • SEC EDGAR MCP - Connects AI assistants to U.S. SEC EDGAR filings, financial statements, and insider-trading data. GitHub stars
  • TAM MCP Server - One server, eight sources: Alpha Vantage, BLS, Census, FRED, IMF, Nasdaq, OECD, and World Bank. GitHub stars
  • U.S. Census Bureau Data API MCP - Official Census Bureau server connecting AI assistants to demographic, economic, and population statistics. GitHub stars
  • UN Comtrade MCP Server - Access UN Comtrade international trade statistics with country and HS commodity code lookup. GitHub stars
  • World Bank Data360 MCP - Official World Bank server giving AI agents structured access to Data360 development indicators. GitHub stars
  • World Bank MCP Server - Community server for the legacy World Bank Open Data API (the official one is World Bank Data360 MCP above). GitHub stars

Browse the MCP Registry to discover more servers.

Coding Tools for Economists

  • AI-research-setup - Step-by-step guide to setting up Claude Code and Codex for economics research on macOS and Windows. GitHub stars
  • Aider - AI pair programming in your terminal with git integration and 260+ LLM support. GitHub stars
  • awesome-econ-ai-stuff - Reusable AI skills for economists (SKILL.md standard) covering Stata, Python, and LaTeX workflows. GitHub stars
  • Cline - Autonomous coding agent for VS Code with Plan/Act modes and MCP integration. GitHub stars
  • Jupyter AI - Official JupyterLab extension with %%ai magic commands for code generation and explanation. GitHub stars
  • Jupyter AI Agents - AI agents for JupyterLab with MCP integration for connecting notebooks to FRED, World Bank, and more. GitHub stars
  • Marimo - Reactive Python notebook stored as pure .py files with built-in AI assistant. GitHub stars
  • opencode - Open-source, provider-agnostic AI coding agent built for the terminal with a TUI. GitHub stars
  • Positron IDE - IDE from Posit (makers of RStudio) with native R and Python support and an AI data assistant.
  • Stata-MCP - Execute .do/.ado/.mata files from VS Code, Cursor, Claude Code, or GitHub Copilot with real-time output panels, built-in data viewer, and graph display. GitHub stars

AI Agent Frameworks

Build automated research pipelines — from data collection to analysis to report generation.

  • Agno - Open-source Python framework with memory, knowledge, and 100+ toolkits including MCP support. GitHub stars
  • AutoGen - Microsoft's multi-agent conversation framework for complex research workflows. GitHub stars
  • chatlas - Posit's Python interface for LLMs with streaming, tool calling, and structured output. GitHub stars
  • CrewAI - Role-based multi-agent systems for collaborative research workflows.
  • DeerFlow - ByteDance's research SuperAgent for long-horizon tasks with sandboxed code execution. GitHub stars
  • DSPy - Stanford framework for programmatic LLM optimization — "programming, not prompting." GitHub stars
  • Econ Auto Research - Vision stage: an economist-directed research pipeline — identification judgment, pre-specified analysis, and referee-grade self-checking — built on the OpenEcon toolchain. GitHub stars
  • ellmer - Tidyverse R package for calling LLM APIs with tool calling and structured data extraction. GitHub stars
  • Google ADK - Google's modular multi-agent framework with MCP and A2A protocol support. GitHub stars
  • GPT Researcher - Autonomous deep research agent producing cited reports from web sources. GitHub stars
  • LangGraph - Stateful agent workflows built on cyclic graphs.
  • MetaGPT - Multi-agent framework simulating roles (PM, analyst, engineer) with structured SOPs. GitHub stars
  • OpenAI Agents SDK - Lightweight production-ready multi-agent framework with handoffs and guardrails. GitHub stars
  • Pydantic AI - Type-safe agent framework with structured input/output, ideal for working with economic data.
  • smolagents - Hugging Face's minimalist agent library where agents write actions as Python code. GitHub stars
  • The AI Scientist - Sakana AI framework for fully automated research with LaTeX paper generation and automated reviewing. GitHub stars

Causal Inference and Econometrics

Core Libraries

  • awesome-causal-inference - Curated list of causal inference resources, courses, and tools. GitHub stars
  • causal-learn - Causal discovery algorithms (PC, FCI, GES) from the PyWhy ecosystem. GitHub stars
  • CausalML - Uber's uplift modeling and causal inference with machine learning. GitHub stars
  • CausalPy - Bayesian causal inference for quasi-experiments (DiD, synthetic control, RDD) powered by PyMC. GitHub stars
  • DoubleML - Chernozhukov et al. (2018) Double/Debiased ML in Python and R.
  • DoWhy - End-to-end causal inference: model, identify, estimate, refute. GitHub stars
  • EconML - Microsoft/PyWhy library for heterogeneous treatment effects via Double ML and causal forests. GitHub stars
  • grf - Generalized Random Forests for heterogeneous treatment effects (Athey, Tibshirani, Wager). GitHub stars
  • pyfixest - Fast high-dimensional fixed-effects regression in Python with IV, Poisson, and modern difference-in-differences estimators. GitHub stars

Frontier Tools

  • Causal-Copilot - LLM agent automating end-to-end causal discovery, inference, and reporting from natural-language queries. GitHub stars
  • CausalAgent - Multi-agent AI for end-to-end causal inference through conversation. GitHub stars
  • CausalFM - Foundation models for causal inference; pre-trained models replace per-problem estimation (ICLR 2026). GitHub stars
  • CausalMatch - ByteDance's causal matching engine at industrial scale. GitHub stars
  • CausalPFN - Prior-fitted transformer for amortized, in-context ATE and CATE estimation without per-dataset retraining. GitHub stars
  • CImpact - Causal impact for time series with frequentist and Bayesian methods. GitHub stars
  • contdid - DiD with continuous treatment, by Brantly Callaway. GitHub stars
  • diff-diff - Scikit-learn-style difference-in-differences library for Python. GitHub stars
  • differences - Python implementation of Callaway and Sant'Anna staggered difference-in-differences with multiple periods and triple differences. GitHub stars
  • DoubleLingo - Double ML with LLM-based nuisance models for causal inference on unstructured data. GitHub stars
  • moderndid - GPU-accelerated modern DiD with staggered adoption and event studies. GitHub stars
  • pysyncon - Python synthetic control suite with classic, augmented, penalized, and robust estimators plus placebo inference. GitHub stars
  • Salesforce CausalAI - Causal analysis for time series and tabular data. GitHub stars
  • scpi - Synthetic control with prediction intervals for single, multiple, and staggered-adoption units, in R, Python, and Stata. GitHub stars
  • TexIV - Extract instrumental variables from text data using ML. GitHub stars
  • xtdml - Stata module for double machine learning in static panel models with fixed effects. GitHub stars

Simulation, Forecasting and Macro Modeling

Agent-Based Models and LLM Simulation

  • AgentSociety - Large-scale LLM-driven social simulator modeling urban, social, and economic spaces with taxation and banking. GitHub stars
  • BeforeIT.jl - Bank of Italy's agent-based macroeconomic model in Julia. GitHub stars
  • Concordia - Google DeepMind library for generative agent-based modeling of social, economic, and market interactions. GitHub stars
  • EconAgent - LLM agents with personality traits simulating macroeconomic activities (ACL 2024). GitHub stars
  • LLM-ABM Survey - Tsinghua's toolkit and survey for LLM agent-based modeling. GitHub stars
  • LLM-Economist - Mechanism design with 3–1,000+ LLM agents for optimal taxation research. GitHub stars
  • MarS - Microsoft engine simulating financial markets via a generative Large Market Model of order flow. GitHub stars

Forecasting and Nowcasting

  • Chronos - Amazon's pretrained time series models with Bolt variant for 250x speedup. GitHub stars
  • Durbyn.jl - Julia port of R's forecast package. GitHub stars
  • emerging-trajectories - LLM-based forecasting of political and economic events. GitHub stars
  • Lag-Llama - First open-source foundation model for probabilistic time series forecasting. GitHub stars
  • neuralforecast - Neural forecasting models (N-BEATS, NHITS, Transformers) for economic time series. GitHub stars
  • Now-Casting.com - Real-time GDP nowcasts for major economies, updated as data releases occur.
  • Project Spectrum - BIS/ECB/Bundesbank GenAI for inflation nowcasting, categorizing 34M+ products for CPI.
  • statsforecast - Fast statistical forecasting for econometric time series. GitHub stars
  • Sundial - Generative time-series foundation models giving probabilistic forecasts via flow matching without discrete tokenization. GitHub stars
  • tabpfn-time-series - Zero-shot time-series forecasting that repurposes the TabPFN-v2 tabular foundation model, no training needed. GitHub stars
  • TimeGPT - Nixtla's foundation model for time series trained on 100B+ data points. GitHub stars
  • TimesFM - Google's decoder-only time series foundation model pre-trained on 400B+ time points. GitHub stars
  • TiRex - NX-AI's xLSTM-based zero-shot time-series foundation model topping the GIFT-Eval forecasting leaderboard. GitHub stars
  • Toto - Datadog's open-weight time-series foundation model, paired with the 350M-observation BOOM benchmark. GitHub stars
  • uni2ts - Unified time series transformer models. GitHub stars

Game Theory and Mechanism Design

  • Axelrod - Iterated Prisoner's Dilemma research with 200+ strategies and tournament simulations. GitHub stars
  • Nashpy - Two-player game solver with support enumeration, vertex enumeration, and Lemke-Howson.
  • pygambit - Game theory computation for extensive and strategic form games with a Python API.

DSGE and Structural Models

Literature Review and Research Discovery

  • alphaXiv - Line-by-line discussion on arXiv papers with AI-powered analysis.
  • ASReview - Active learning for systematic reviews, reducing screening time by up to 95% (Nature Machine Intelligence). GitHub stars
  • Asta - Ai2's open agentic-science assistant for paper finding, cited literature synthesis, and data analysis. GitHub stars
  • Connected Papers - Visual graphs of related papers from a seed paper.
  • Consensus - Evidence meter categorizing findings as yes/no/mixed across 200M+ papers.
  • Elicit - Research agents synthesizing up to 80 papers into structured briefs from a large literature corpus.
  • Inciteful - Free citation network analysis using graph algorithms to find key papers and connections.
  • Kosmos - Autonomous AI scientist reading 1,500+ papers per run to synthesize fully cited research reports.
  • LangChain Open Deep Research - Open-source configurable deep-research agent producing cited reports across any LLM and search tools. GitHub stars
  • Litmaps - Dynamic multi-seed citation mapping with monitored searches and daily alerts for new papers.
  • Meta-Mar - Free meta-analysis platform where AI reads PDFs and extracts quantitative outcomes.
  • MindMap AI - Turns research papers, PDFs, and notes into structured visual mind maps for literature synthesis.
  • OpenAlex - Fully open catalog of scholarly works with a free REST API and semantic search.
  • OpenScholar - Retrieval-augmented LM for scientific literature synthesis across 45M+ papers (Nature 2026). GitHub stars
  • PaperQA2 - RAG system for question answering and summarization over scientific literature. GitHub stars
  • Rayyan - AI screening for systematic reviews with 90% time reduction and PRISMA flowcharts.
  • ResearchRabbit - Citation network and semantic similarity discovery rebuilt with Litmaps.
  • SciSpace - Deep review with iterative search and Zotero integration across 280M papers.
  • Scite - Classifies 1.5B+ citations as supporting or contrasting with AI-driven research rankings.
  • Semantic Scholar - AI-powered academic search with citation analysis, TLDR summaries, and free API across 220M+ papers.
  • STORM - Stanford's LLM-powered system that researches topics and generates full reports with citations. GitHub stars
  • Suppr - AI literature search, document translation, and deep-research reports over PubMed and OpenAlex, with a Zotero plugin.
  • Undermind - Autonomously reads hundreds of papers and produces structured reports with timelines and categories.
  • Zotero PapersGPT - Zotero AI plugin supporting ChatGPT, Claude, Gemini, and more for PDF chat and summaries. GitHub stars

Economic Data and Analysis

AI Data Analysis Platforms

  • Julius AI - Upload datasets and ask questions in natural language; returns charts, regressions, and reports.
  • Microsoft Data Formulator - Describe charts in English and get publication-quality output with Python code. GitHub stars

Economic Data Sources

  • OpenEcon Data - Query 330,000+ economic indicators from FRED, World Bank, IMF, Comtrade, StatsCan, Eurostat, BIS, and more in plain English. Export to CSV, JSON, DTA, or Python. Try it | GitHub GitHub stars
  • fedfred - Modern Python client for the FRED API at scale. GitHub stars
  • FRED API v2 - Bulk retrieval of all series in any release across 800,000+ time series.
  • FXMacroData - API and MCP server for macroeconomic releases, calendars, FX, commodities, and bond yields, queryable in plain English.
  • Global Macro Database - Open-source macro dataset covering 241 countries, 1086–2024, from contemporary and historical sources.
  • Trading Economics API - 300,000+ indicators from 196 countries with Python and R packages.

Academic Writing and LaTeX

  • AI Research Feedback - Claude Code skills giving multi-agent referee-style feedback on economics papers before submission. GitHub stars
  • Econ Paper Review Skill - Agent skill producing tough, fair referee reports on economics papers — verified comments, editing notes, and a revision plan. Works with Claude Code and OpenAI Codex. GitHub stars
  • Econ Slides Skill - Agent skill turning a paper into a professional Beamer talk — conference, seminar, and discussant decks with compile-and-render verification. Works with Claude Code and OpenAI Codex. GitHub stars
  • Econ Writing Skill - Agent skill for writing economics papers, synthesizing 50+ guides by Cochrane, McCloskey, Shapiro, Head, and others. Works with Claude Code and OpenAI Codex. GitHub stars
  • OpenAI Prism - Free LaTeX workspace with citation management, Zotero sync, sketch-to-equation, and real-time collaboration.
  • Overleaf AI Assist - LaTeX error fixing, table generation, and equation generation from prompts or images.
  • overleaf-sync-now - Keeps local LaTeX in sync with Overleaf so AI coding agents never edit a stale paper. GitHub stars
  • Paperpal - Academic writing assistant on Overleaf, Google Docs, and Chrome.
  • Refine.ink - AI referee generating peer-review-quality feedback on academic papers, piloting with top economics journals.
  • Rigorous - Open-source AI pre-submission peer review generating referee-style manuscript feedback using your own LLM keys. GitHub stars
  • Thesify - AI reviewer evaluating argumentation, methodology, and rigor.
  • Typst - Modern LaTeX alternative with dramatically simpler syntax and sub-second compilation.
  • Underleaf - Chrome extension for image-to-LaTeX and smart citation generation.

Document Processing and OCR

  • DeepSeek-OCR - Open-weight vision model converting document images to Markdown with formula and table recognition. GitHub stars
  • Docling - IBM open-source document parser with 0.97 table recognition accuracy. GitHub stars
  • eScriptorium - Open-source platform for segmenting, transcribing, and OCR-ing historical and handwritten manuscripts.
  • Marker - PDF to Markdown/JSON at 122 pages/sec with multi-page table merging. GitHub stars
  • Mathpix - Screenshot-to-LaTeX OCR for equations, tables, and diagrams with PDF-to-Overleaf conversion.
  • MinerU - PDF, web, and e-book content extraction with OCR for 84 languages. GitHub stars
  • Mistral OCR 3 - Costs $1–2 per 1,000 pages with support for cursive, complex tables, and low DPI.
  • OlmOCR - Allen AI's fully open-source OCR with SOTA accuracy on tables, equations, and handwriting. GitHub stars
  • PaddleOCR-VL - Vision-language OCR extracting layout, formulas, and structured tables from documents across many languages. GitHub stars
  • Pix2Text - Open-source tool recognizing layouts, tables, and math formulas in images, exporting LaTeX and Markdown. GitHub stars
  • Surya - Open-source OCR toolkit for 90+ languages with layout, reading-order, and table recognition. GitHub stars
  • Transkribus - Handwritten historical document transcription with 140+ AI models in 100+ languages.

NLP and Sentiment for Economics

  • CentralBankRoBERTa - Fine-tuned RoBERTa for sentiment classification in central bank communications. GitHub stars
  • EconBERTa - World Bank DeBERTa trained on 9.4B tokens from 1.5M economics papers with NER. GitHub stars
  • FinBERT - Fine-tuned BERT for financial sentiment, widely cited in economics and finance research.
  • FinSentGPT - Fine-tuned ChatGPT for multilingual financial sentiment, tested on ECB Monetary Policy Decisions.
  • FinVADER - VADER updated with financial lexicons. GitHub stars
  • GABRIEL - OpenAI toolkit turning text, images, or audio into quantitative measures for social scientists. GitHub stars
  • Llama-3.1-Hawkish-8B - Llama-3.1-8B fine-tuned for financial NLP, including hawkish/dovish classification of Fed communications.
  • SentiBigNomics - Sentiment analysis designed for economic text with aspect-based and negation handling. GitHub stars
  • WorldCentralBanks - Annotated corpus and per-bank models classifying monetary policy stance in central bank communications worldwide. GitHub stars

Policy, Labor and Alternative Data

Policy and Evidence Synthesis

  • EUROMOD - EU tax-benefit microsimulation covering all 27 member states (open-source, EUPL-1.2).
  • ImpactAI - World Bank DIME tool synthesizing RCT evidence with effect sizes across interventions.
  • OpenFisca - Open-source microsimulation engine for computing taxes and benefits on population data.
  • Plural Policy - AI bill summarizer with version comparison and momentum indicators across U.S. jurisdictions.
  • PolicyEngine - Open-source U.S. tax-benefit microsimulation. GitHub stars

Labor Market Data

  • Anthropic Economic Index - Open dataset and recurring reports mapping which economic tasks and occupations people use AI for.
  • Lightcast - 2.5B job postings, 800M profiles, and 160+ countries with AI skills taxonomy.
  • LinkedIn Economic Graph - Labor trends, skills migration, and talent matching data for academic researchers.
  • Revelio Labs - 100M+ employment records with academic access via WRDS.

Spatial, Satellite and Alternative Data

  • CARTO - AI agents that reason with spatial data via natural language.
  • Clay Foundation Model - Open foundation model for Earth observation generating embeddings from global multi-sensor satellite imagery. GitHub stars
  • FlyPix AI - No-code custom AI models on satellite and drone imagery for economic measurement.
  • Neudata - Alternative data intelligence cataloging thousands of non-traditional data sources.
  • Overture Maps - Open global geospatial data of places, buildings, addresses, and transportation, released monthly. GitHub stars
  • Stanford Satellite + AI - HDI for 61,530 municipalities from satellite imagery (Nature Communications, 2026).

Finance-Specific AI

  • ai-hedge-fund - Educational multi-agent system mimicking famous investors to research stocks and propose trading decisions. GitHub stars
  • awesome-quant - Curated quantitative finance resources. GitHub stars
  • Dexter - Autonomous financial research agent with task planning and real-time data. GitHub stars
  • Fin-R1 - Financial reasoning LLM by Shanghai University of Finance and Economics. GitHub stars
  • FinGPT - Open-source financial LLMs for sentiment, forecasting, and reports. GitHub stars
  • FinRobot - AI agent platform for financial analysis combining LLMs, RL, and quantitative methods. GitHub stars
  • Open Financial LLM Leaderboard - Public leaderboard benchmarking LLMs across financial NLP, question answering, and forecasting tasks.
  • OpenBB - Open-source financial research platform with AI copilot and economic data integration. GitHub stars
  • TradingAgents - Multi-agent LLM framework simulating analyst, researcher, trader, and risk-manager roles for trading decisions. GitHub stars

Data Collection Tools

Web Scraping

  • Crawl4AI - Open-source web crawler producing LLM-ready markdown for RAG and data pipelines. GitHub stars
  • Crawlee - Open-source crawling and scraping library that extracts web data for AI, LLM, and RAG pipelines. GitHub stars
  • Firecrawl - Webpages to structured markdown with AI extraction endpoint.
  • Kadoa - No-code AI extraction for financial and economic data.
  • ScrapeGraphAI - LLM-powered scraping that adapts to website changes automatically. GitHub stars

Survey and Qualitative Research

  • Anthropic Interviewer - AI-conducted adaptive qualitative interviews at scale across 159 countries.
  • ATLAS.ti - AI-powered qualitative coding reducing manual effort by 90%.
  • Conveo - AI video interviews with multimodal analysis at scale.
  • Outset AI - Hundreds of AI-moderated interviews simultaneously in 40+ languages.
  • TheySaid - AI-moderated surveys with conversational follow-ups.

Warning: Nature reports AI chatbots infiltrating online surveys. Implement detection for MTurk/Prolific studies.

Synthetic Data

  • Gretel - Synthetic data with differential privacy (acquired by NVIDIA in 2025). Open-source library (archived).
  • MOSTLY AI - High-fidelity synthetic datasets with GDPR/HIPAA compliance.
  • SDV - Open-source synthetic data generation with CTGAN, CopulaGAN, and GaussianCopula models. GitHub stars
  • Synthcity - Generates and benchmarks synthetic tabular, time-series, and survival data with privacy and fairness metrics. GitHub stars

Papers and Books

Key Papers

PaperAuthorsVenue
Generative AI for Economic ResearchKorinek (2023)JEL
AI Agents for Economic ResearchKorinek (2025)NBER
Deep Learning for EconomistsDell (2025)JEL
DiD Causal ForestsGavrilova et al. (2025)J. Applied Econometrics
Economics in the Age of AlgorithmsMullainathan (2025)AEA P&P
Generative AI at WorkBrynjolfsson, Li, Raymond (2025)QJE
How People Use ChatGPTChatterji et al. (2025)NBER
A Research Agenda for the Economics of Transformative AIBrynjolfsson, Korinek, Agrawal (2026)NBER
LLMs: An Applied Econometric FrameworkLudwig, Mullainathan, Rambachan (2025)NBER
ML Who to NudgeAthey, Keleher, Spiess (2025)J. Econometrics
The Simple Macroeconomics of AIAcemoglu (2025)Economic Policy
A.I. and Our Economic FutureJones (2026)NBER
AI in Economics ResearchBahoo et al. (2025)J. Economic Surveys
Teaching Economics to the MachinesChen et al. (2026)NBER

Books

Courses, Conferences and Community

Courses, Guides and Tutorials

Conferences (2025–2026)

Community

Newsletters: genaiforecon (Korinek) | Causal Inference (Cunningham) | Autonomous Econ (Wong) | One Useful Thing (Mollick) | paulgp (Goldsmith-Pinkham) | Frankly, the Counterfactual (IU O'Neill)

Podcasts: Dwarkesh Podcast | Exponential View

People: Anton Korinek | Scott Cunningham | Erik Brynjolfsson | Antonio Mele | Melissa Dell | Sendhil Mullainathan

Institutions: NBER AI | Stanford DEL | OECD.AI | World Bank ImpactAI | EconTAI

Appendix: General-Purpose AI

Widely known tools listed for completeness with notes on what economists specifically value.

ToolBest For (Economists)
ChatGPTDeep Research mode for analyst-grade reports from 500+ sources
ClaudeCoding (Stata, R, Python), long document analysis (200K context)
Claude CodeAgentic terminal coding with MCP integration for Stata and economic data
CursorAI-native code editor with Background Agents
DeepSeek R1Open-source (MIT), self-hostable for data privacy
GeminiWriting, visual reports, Google Workspace integration
GitHub CopilotAgent Mode with RStudio integration
NotebookLMDocument synthesis, Audio Overviews, 1M token context
OpenAI CodexParallel task execution with reusable agent skills
Perplexity AIAcademic Focus mode filtering for peer-reviewed journals

Contributing

Contributions welcome! Read the contribution guidelines first.

License

CC0

To the extent possible under law, the contributors have waived all copyright and related or neighboring rights to this work. See LICENSE.

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A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
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