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
  ☆190Updated last year
• aahrens1 / ddml
  Double/Debiased Machine Learning implementation for Stata
  ☆12Updated last week
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆162Updated 2 years ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆172Updated last year
• jiamingmao / data-analysis
  Data Analysis for Economics
  ☆135Updated last year
• synth-inference / synthdid
  Synthetic difference in differences
  ☆285Updated last year
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆70Updated 5 years ago
• 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…
  ☆58Updated 7 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 5 years ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated 10 months ago
• dropout009 / sdid_python
  replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…
  ☆15Updated 6 years ago
• zhaoxiliang / causalinference
  《基本有用的计量经济学》（MUSE）
  ☆125Updated 3 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆65Updated last year
• bernardodionisi / differences
  difference-in-differences in Python
  ☆105Updated last year
• zhentaoshi / Econ5121A
  Econ5121A@CUHK. This is an open-source writing project.
  ☆89Updated last month
• zhentaoshi / econ5170
  Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
  ☆151Updated 5 months ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆127Updated last year
• matteocourthoud / Machine-Learning-for-Economic-Analysis
  Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
  ☆87Updated 3 years ago
• woerman / ResEcon703
  Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
  ☆252Updated 2 years ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆208Updated 8 months ago
• gsbDBI / ExperimentData
  ☆237Updated 2 years ago
• rphilipzhang / AI-PhD-S24
  Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
  ☆107Updated 8 months ago
• Alalalalaki / Guide2EconRA
  ☆204Updated last month
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆104Updated 5 months ago
• vkoul / Econ-Data-Science
  Articles/ Journals and Videos related to Economics and Data Science
  ☆130Updated 3 years ago
• StatsReporting / stargazer
  Python implementation of the R stargazer multiple regression model creation tool
  ☆203Updated last year
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 3 years ago
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆431Updated 2 months ago
• yniu87 / ML_Macro
  Modeling Macroeconomics with Deep Reinforcement Learning
  ☆12Updated 6 years ago