Alternatives and similar repositories for rdd:

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

• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆76Updated 4 months ago
• demirermert / MLInference
  ☆99Updated 4 years ago
• asheshrambachan / HonestDiD
  Robust inference in difference-in-differences and event study designs
  ☆195Updated 2 weeks ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆69Updated this week
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆64Updated 2 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆96Updated 3 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆75Updated 11 months ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆150Updated last month
• synth-inference / synthdid
  Synthetic difference in differences
  ☆279Updated last year
• insongkim / PanelMatch
  ☆122Updated last week
• xuyiqing / fect_stata
  Stata package for Fixed Effect Counterfactual Estimators
  ☆23Updated 6 months ago
• tomcaputo / mixtape_learnr
  ☆80Updated 4 years ago
• Daniel-Pailanir / sdid
  Synthetic Difference in Differences for Stata
  ☆77Updated 3 weeks ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆92Updated 4 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆246Updated 4 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 8 months ago
• michaelpollmann / spatialTreat-example
  a simple example for estimating the causal effects of spatial treatments, following Pollmann (2021)
  ☆25Updated 2 years ago
• gsbDBI / ExperimentData
  ☆234Updated 2 years ago
• madina-k / DSE2021_tutorials
  ☆20Updated 3 years ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆137Updated last month
• Mixtape-Sessions / Causal-Inference
  Causal Inference Mixtape Sessions
  ☆95Updated 2 years ago
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated last week
• mmeierer / REndo
  REndo - A R package to control for endogeneity by using internal instrumental variable models
  ☆16Updated 7 months ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• sekhansen / text_algorithms_econ
  ☆118Updated 2 months ago
• jeffgortmaker / pyhdfe
  High dimensional fixed effect absorption with Python 3
  ☆56Updated last year
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 11 months ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆65Updated last month