econometrics

Statsmodels: statistical modeling and econometrics in Python

Collection of notebooks about quantitative finance, with interactive python code.

Lightning ⚡️ fast forecasting with statistical and econometric models.

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.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

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

Generalized Random Forests

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

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

Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Advanced and Fast Data Transformation in R

DoubleML - Double Machine Learning in Python

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

Visualise your CSV files in seconds without sending your data anywhere

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)