Alternatives and similar repositories for DoubleML-Python

Users that are interested in DoubleML-Python are comparing it to the libraries listed below

• esantorella / binscatter
  ☆23Updated 2 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆77Updated 7 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆37Updated 5 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆87Updated last year
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated last year
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆67Updated 2 years ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆50Updated 3 months ago
• bryangraham / netrics
  A Python 3.7 package for the econometric analysis of networks
  ☆22Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆53Updated 6 months ago
• VC2015 / DMLonGitHub
  ☆23Updated 7 years ago
• jeremylhour / hdmetrics
  Machine Learning for Econometrics -- ENSAE Paris
  ☆26Updated 5 years ago
• py-econometrics / duckreg
  Every big regression is a small regression with weights.
  ☆64Updated last week
• gzervas / torchfe
  High-dimensional fixed effect estimation with pytorch
  ☆18Updated 4 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 6 years ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• Mixtape-Sessions / Empirical-Bayes
  Empirical Bayes Mixtape Session taught by Christopher Walters
  ☆18Updated 11 months ago
• dballinari / Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment
  Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"
  ☆14Updated last year
• aeturrell / specification_curve
  Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple dif…
  ☆26Updated last week
• johnson-shuffle / mixtape
  Data for Causal Inference: The Mixtape by Scott Cunningham
  ☆36Updated 2 years ago
• eleanormurray / causalinferencebook_stata
  Stata code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
  ☆18Updated last year
• QuantLet / Meta_learner-for-Causal-ML
  This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…
  ☆35Updated 10 months ago
• khakieconomics / StanEcon
  Discussion for Stan for economists
  ☆10Updated 9 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆27Updated 2 years ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 7 months ago
• OpportunityInsights / Surrogates-Replication-Code
  Code to replicate GAIN application in Athey, Chetty, Imbens and Kang (2019) using simulated employment data
  ☆33Updated 3 years ago
• d2cml-ai / csdid
  CSDID
  ☆35Updated 4 months ago