Topic: econometrics Goto Github
Some thing interesting about econometrics
Some thing interesting about econometrics
econometrics,This repository hosts the code behind the online book, Coding for Economists.
User: aeturrell
Home Page: https://aeturrell.github.io/coding-for-economists
econometrics,A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Organization: alkaline-ml
Home Page: https://www.alkaline-ml.com/pmdarima
econometrics,difference-in-differences in Python
User: bernardodionisi
Home Page: https://bernardodionisi.github.io/differences/latest/
econometrics,Collection of notebooks about quantitative finance, with interactive python code.
User: cantaro86
econometrics,Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Organization: causalinferencelab
Home Page: https://causalinferencelab.github.io/Causal-Inference-with-Python/
econometrics,
User: cpfiffer
econometrics,Econometrics and data manipulation functions.
User: dmsul
Home Page: http://www.danielmsullivan.com/econtools
econometrics,DoubleML - Double Machine Learning in Python
Organization: doubleml
Home Page: https://docs.doubleml.org
econometrics,DoubleML - Double Machine Learning in R
Organization: doubleml
Home Page: https://docs.doubleml.org
econometrics,Time series implementation for the Julia language focused on efficiency and flexibility
User: dysonance
econometrics,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 through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Organization: facebookexperimental
Home Page: https://facebookexperimental.github.io/Robyn/
econometrics,LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Organization: google
Home Page: https://lightweight-mmm.readthedocs.io/en/latest/index.html
econometrics,Generalized Random Forests
Organization: grf-labs
Home Page: https://grf-labs.github.io/grf/
econometrics,This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
User: ianho2019
econometrics,ARMA-GARCH
User: iankhr
econometrics,This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
User: johntwk
econometrics,R code for Angrist & Pischke Mastering Metrics
User: jrnold
Home Page: https://jrnold.github.io/masteringmetrics
econometrics,The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.
User: justinmshea
Home Page: https://justinmshea.github.io/wooldridge
econometrics,MSGARCH R Package
User: keblu
Home Page: https://cran.r-project.org/web/packages/MSGARCH/index.html
econometrics,StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
Organization: lampspuc
Home Page: https://lampspuc.github.io/StateSpaceModels.jl/latest/
econometrics,Multiple econometrics cheat sheets with a complete and summarize review going from the basics of an econometric model to the solution of the most popular problems.
User: marcelomijas
econometrics,Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
User: matheusfacure
Home Page: https://matheusfacure.github.io/python-causality-handbook/landing-page.html
econometrics,Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
Organization: mathsci
Home Page: https://git.io/econ
econometrics,📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
User: mca91
Home Page: https://www.econometrics-with-r.org/
econometrics,Econometrics lecture notes with examples using the Julia language
User: mcreel
econometrics,Applied Econometrics Library for Python
User: mfarragher
Home Page: https://appelpy.readthedocs.io/
econometrics,CausalLift: Python package for causality-based Uplift Modeling in real-world business
User: minyus
Home Page: https://causallift.readthedocs.io/
econometrics,Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Organization: nixtla
Home Page: https://nixtlaverse.nixtla.io/hierarchicalforecast
econometrics,Lightning ⚡️ fast forecasting with statistical and econometric models.
Organization: nixtla
Home Page: https://nixtlaverse.nixtla.io/statsforecast
econometrics,Research by Carlos Góes
User: omercadopopular
econometrics,course on data science for economists
Organization: opensourceeconomics
Home Page: https://ose-data-science.readthedocs.io
econometrics,A Python package for causal inference using Synthetic Controls
User: oscarengelbrektson
econometrics,Collection of stats, modeling, and data science tools in Python and R.
User: pmaji
econometrics,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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Organization: py-why
Home Page: https://www.microsoft.com/en-us/research/project/alice/
econometrics,An open source library for Fuzzy Time Series in Python
Organization: pyfts
Home Page: http://pyfts.github.io/pyFTS/
econometrics,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 bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
User: rsvp
Home Page: https://git.io/econ
econometrics,A Julia package for estimating ARMA-GARCH models.
User: s-broda
Home Page: https://juliaeconometrics.wordpress.com/
econometrics,Undergraduate textbook for Econometrics with R
Organization: scpoecon
Home Page: https://ScPoEcon.github.io/ScPoEconometrics/
econometrics,Advanced and Fast Data Transformation in R
User: sebkrantz
Home Page: https://sebkrantz.github.io/collapse/
econometrics,Statsmodels: statistical modeling and econometrics in Python
Organization: statsmodels
Home Page: http://www.statsmodels.org/devel/
econometrics,2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Organization: unslothai
Home Page: https://hyperlearn.readthedocs.io/en/latest/index.html
econometrics,Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
User: vikjam
econometrics,Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
User: vkoul
Home Page: https://vkoul.github.io/Econ-Data-Science/
econometrics,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 testing, ANOVA and etc. All codes are straightforward to understand.
User: weijie-chen
econometrics,Bayesian Statistics-Econometrics
User: weijie-chen
econometrics,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 without hustles of derivation and Python codes are straightforward.
User: weijie-chen
econometrics,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
User: xieliaing
econometrics,Vanilla option pricing and visualisation using Black-Scholes model in pure Python
User: yzoz
econometrics,Econ5121A@CUHK. This is an open-source writing project.
User: zhentaoshi
Home Page: http://zhentaoshi.github.io/Econ5121A/
econometrics,Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
User: zhentaoshi
Home Page: http://zhentaoshi.github.io/econ5170/
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