Statistics for topic econometrics
RepositoryStats tracks 633,915 Github repositories, of these 73 are tagged with the econometrics topic. The most common primary language for repositories using this topic is Jupyter Notebook (24). Other languages include: Python (17)
Stargazers over time for topic econometrics
Most starred repositories for topic econometrics (view more)
Trending repositories for topic econometrics (view more)
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Lightning ⚡️ fast forecasting with statistical and econometric models.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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.
This package implements the local projections models in Python for single entity time series, and panel / longitudinal data settings, due to Jorda (2005), and based on codes available at https://sites...
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.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Statsmodels: statistical modeling and econometrics in Python
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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.
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
This package implements the local projections models in Python for single entity time series, and panel / longitudinal data settings, due to Jorda (2005), and based on codes available at https://sites...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Statsmodels: statistical modeling and econometrics in Python
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Lightning ⚡️ fast forecasting with statistical and econometric models.
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...
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
This package implements the local projections models in Python for single entity time series, and panel / longitudinal data settings, due to Jorda (2005), and based on codes available at https://sites...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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
This package implements the local projections models in Python for single entity time series, and panel / longitudinal data settings, due to Jorda (2005), and based on codes available at https://sites...
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.