Statistics for topic econometrics
RepositoryStats tracks 584,796 Github repositories, of these 70 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
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Lightning ⚡️ fast forecasting with statistical and econometric models.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
This repository hosts the code behind the online book, Coding for Economists.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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This repository hosts the code behind the online book, Coding for Economists.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Visualise your CSV files in seconds without sending your data anywhere
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...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Visualise your CSV files in seconds without sending your data anywhere
This repository hosts the code behind the online book, Coding for Economists.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Visualise your CSV files in seconds without sending your data anywhere
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...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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.
Notebooks for Applied Causal Inference Powered by ML and AI
Machine learning based causal inference/uplift in Python
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.