Statistics for topic econometrics
RepositoryStats tracks 569,482 Github repositories, of these 69 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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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
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
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.
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
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...
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 ...
Statsmodels: statistical modeling and econometrics in Python
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...
Lightning ⚡️ fast forecasting with statistical and econometric models.
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Collection of notebooks about quantitative finance, with interactive python code.
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
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 withou...
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
Lightning ⚡️ fast forecasting with statistical and econometric models.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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...
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Notebooks for Applied Causal Inference Powered by ML and AI
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
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...
Notebooks for Applied Causal Inference Powered by ML and AI
Repositorio de la clase de Econometría I · Facultad de Economía · UNAM · Semestre 2025-1
MarSwitching.jl: Julia package for Markov switching dynamic models :chart_with_upwards_trend:
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.