Popular GitHub Repositories for Economics

Investment Research for Everyone, Everywhere.

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.

Awesome papers involving LLMs in Social Science.

Open source framework for using LLMs to forecast political, economic, and social events.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Implementation of the paper "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?"

This project is a collection of Jupyter notebooks and scientific papers that analyze Bitcoin markets using economical, financial and machine learning models.

Code and materials for the paper S. Phelps and Y. I. Russell, Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics, working paper, arXiv:2305.07970, May 2023

JASA is a high-performance auction simulator written in JAVA. It is designed for performing experiments in agent-based computational economics.

Artificial Neural Networks in Economic Forecasting (ANNEF)

Improved Mortality Forecasts using Artificial Intelligence.

Cost-of-Pass: An Economic Framework for Evaluating Language Models

Artigo de previsão de séries temporais com modelos de suavização exponencial e SARIMA

Univariate time series forecasting in Python of commodity prices using the Autoregressive Integrated Moving Average (ARIMA) model.

Robust Extraction of Named Entities in Economics

Machine Learning for Economics (Sogang University, 2022-2)

? An automated machine learning package for financial analysis