Statistics for topic econometrics
RepositoryStats tracks 595,858 Github repositories, of these 71 are tagged with the econometrics topic. The most common primary language for repositories using this topic is Jupyter Notebook (26). Other languages include: Python (16)
Stargazers over time for topic econometrics
Most starred repositories for topic econometrics (view more)
Trending repositories for topic econometrics (view more)
Statsmodels: statistical modeling and econometrics in Python
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 throug...
Collection of notebooks about quantitative finance, with interactive python code.
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 goal...
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 throug...
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 goal...
Statsmodels: statistical modeling and econometrics in Python
Collection of notebooks about quantitative finance, with interactive python code.
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
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.
ipeadatapy is a data and metadata extraction package made in Python using Ipeadata database official API. In it's essence it is an API wrapper.
Visualise your CSV files in seconds without sending your data anywhere
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Statsmodels: statistical modeling and econometrics in Python
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 goal...
Collection of notebooks about quantitative finance, with interactive python code.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Notebooks for Applied Causal Inference Powered by ML and AI
Visualise your CSV files in seconds without sending your data anywhere
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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 goal...
Visualise your CSV files in seconds without sending your data anywhere
Notebooks for Applied Causal Inference Powered by ML and AI
Repositorio de la clase de Econometría I · Facultad de Economía · UNAM · Semestre 2025-1
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.