📚 Books that will blow your mind

AkShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

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.

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

A curated collection of links for economists

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

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).

Decentralized & Collaborative AI on Blockchain

Applied Econometrics Library for Python

Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)

Online research made easy

🔃 Cybernetics Reading Club

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

Nowcasting

Econ5170@CUHK: Computational Methods in Economics (2020 Spring).

GCAM -- The Global Change Analysis Model

Research by Carlos Góes

A collection of methods for solving Finance/Accounting equations, implemented in C#.

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)

Articles/ Journals and Videos related to Economics📈 and Data Science 📊

Time series implementation for the Julia language focused on efficiency and flexibility

Dichotomy Tests provides interesting tests that show you how inclined you are toward certain philosophical, psychological or political views. Each test tries to discover your preferred beliefs and will attempt to accurately position you along numerous dichotomic axes.

Journal-style regression tables

"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

course on data science for economists

A Python library for the Bureau of Labor Statistics API

An agent-based computational economy with macroeconomic equilibria from microeconomic behaviors

Solve semi-linear parabolic PDEs