Trending repositories for topic econometrics
Collection of notebooks about quantitative finance, with interactive python code.
Lightning ⚡️ fast forecasting with statistical and econometric models.
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...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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
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
Collection of notebooks about quantitative finance, with interactive python code.
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.
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.
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.
Statsmodels: statistical modeling and econometrics in Python
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...
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...
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
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis te...
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...
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
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 ...
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis te...
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...
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
Collection of notebooks about quantitative finance, with interactive python code.
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
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
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.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
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...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Statsmodels: statistical modeling and econometrics in Python
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 ...
Collection of notebooks about quantitative finance, with interactive python code.
Lightning ⚡️ fast forecasting with statistical and econometric models.
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...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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...
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
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...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
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.
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
Collection of notebooks about quantitative finance, with interactive python code.
A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)
Lightning ⚡️ fast forecasting with statistical and econometric models.
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...
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis te...
This repository hosts my reading notes for academic papers.
Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.
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
Notebooks for Applied Causal Inference Powered by ML and AI
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
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...
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...
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
Collection of notebooks about quantitative finance, with interactive python code.
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...
Visualise your CSV files in seconds without sending your data anywhere
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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
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...
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.
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...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
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 ...
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Notebooks for Applied Causal Inference Powered by ML and AI
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...
Repositorio de la clase de Econometría I · Facultad de Economía · UNAM · Semestre 2025-1
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
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...
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
This repository hosts my reading notes for academic papers.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.