Alternatives and similar repositories for FixedEffectModel

Users that are interested in FixedEffectModel are comparing it to the libraries listed below

• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• synth-inference / synthdid
  Synthetic difference in differences
  ☆290Updated last year
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆173Updated last year
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 years ago
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆69Updated 6 years ago
• aahrens1 / ddml
  Double/Debiased Machine Learning implementation for Stata
  ☆14Updated last month
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• daria-pus / BLP-Demand-Estimation
  Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code f…
  ☆59Updated 7 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆129Updated last year
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated this week
• jiamingmao / data-analysis
  Data Analysis for Economics
  ☆136Updated last year
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 5 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• rphilipzhang / AI-PhD-S24
  Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
  ☆109Updated 9 months ago
• gsbDBI / ExperimentData
  ☆238Updated 2 years ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆270Updated this week
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated this week
• d2cml-ai / csdid
  CSDID
  ☆35Updated 3 months ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆215Updated last week
• zhaoxiliang / causalinference
  《基本有用的计量经济学》（MUSE）
  ☆128Updated 3 years ago
• demirermert / MLInference
  ☆100Updated 5 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• zhentaoshi / Econ5121A
  Econ5121A@CUHK. This is an open-source writing project.
  ☆89Updated 2 months ago
• ubcecon / ECON526
  Course materials for ECON526 MA Quantitative Economics; computational econ and data science with a focus on causal inference
  ☆25Updated this week
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆107Updated last month
• zhentaoshi / Econ5150
  Econ5150@CUHK
  ☆14Updated 6 months ago
• alexanderquispe / 14.38_Causal_ML
  JupyterNotebook for the MIT course
  ☆16Updated 5 months ago
• matteocourthoud / Machine-Learning-for-Economic-Analysis
  Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
  ☆86Updated 3 years ago
• textualfactor / Text_Analysis
  Code for Textual Factor Framework in Cong, Liang and Zhang 2019
  ☆14Updated last year
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆161Updated 8 months ago