Repository navigation

#

economics

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

Python
11387
2 天前
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.

Jupyter Notebook
4054
2 天前

A collaboratively curated list of awesome Open-Source Intelligence (OSINT) Resources

2093
3 个月前

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

Jupyter Notebook
1211
2 年前

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).

Python
1058
2 年前

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

Julia
885
18 天前

This repository hosts the code behind the online book, Coding for Economists.

Jupyter Notebook
807
24 天前

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

Stata
612
3 年前

Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.

Jupyter Notebook
402
10 个月前

Heterogenous Agents Resources & toolKit

Python
345
5 天前

GCAM -- The Global Change Analysis Model

R
324
17 天前