#economics (20 Repositories)
Ranked open-source repositories tagged with #economics, scored by pull request acceptance likelihood and maintainer engagement velocity.
31.4%
186.4h
20 repositories tagged #economics
QuantEcon/QuantEcon.py
A community based Python library for quantitative economics
PolicyEngine/policyengine-us
The PolicyEngine US Python package contains a rules engine of the US tax-benefit system, and microdata generation for microsimulation analysis.
igerber/diff-diff
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
bancaditalia/BeforeIT.jl
High-Performance Agent-Based Macroeconomics Made Easy
ValueByte-AI/Awesome-LLM-in-Social-Science
Awesome papers involving LLMs in Social Science.
OpenBB-finance/OpenBB
Open Data Platform for analysts, quants and AI agents.
matthieugomez/EconPDEs.jl
Solve nonlinear PDEs arising from economic models
pedrohcgs/claude-code-my-workflow
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
FRBNY-DSGE/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
FixedEffects/FixedEffectModels.jl
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
ZhuLinsen/alphasift
AI-native stock screening engine with full-market discovery, LLM ranking, risk-aware scoring, and auditable evaluation. AI选股
openbq-org/OpenBB
Open Data Platform for analysts, quants and AI agents.
JGCRI/gcam-core
GCAM -- The Global Change Analysis Model
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
skranz/RTutor
Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)
jmboehm/RegressionTables.jl
Journal-style regression tables
hanlulong/awesome-ai-for-economists
A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
JTAmos/Temporal.jl
Time series implementation for the Julia language focused on efficiency and flexibility
hanlulong/econ-writing-skill
Agent Skill that transforms AI assistants into expert economics paper writers. Synthesizes 50+ guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Kremer. Compatible with Claude Code and OpenAI Codex.
WantongC/journal-adapt-writing-skill
Learn any journal's writing conventions from its published papers, then revise your manuscript to match — section by section.