Alternatives and similar repositories for advanced-did

Users that are interested in advanced-did are comparing it to the libraries listed below

• andrewchbaker / BaGel
  Codes to replicate analysis in Baker & Gelbach (2020)
  ☆11Updated 5 years ago
• edrubin / EC524W21
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2021 Taugh…
  ☆18Updated 4 years ago
• itamarcaspi / experimentdatar
  Datasets used in the AEA 2018 Continuing Education "Machine Learming and Econometrics" (Athey and Imbens, 2018)
  ☆12Updated 6 years ago
• jiafengkevinchen / logs-public
  Replication code for "Log with zeros? Some problems and solutions"
  ☆13Updated last year
• jeremylhour / hdmetrics
  Machine Learning for Econometrics -- ENSAE Paris
  ☆25Updated 5 years ago
• tchakravarty / HansenSolutions
  Solutions to Bruce Hansen's textbook "Econometrics".
  ☆15Updated 10 years ago
• alexCardazzi / lpdid
  ☆15Updated 11 months ago
• shuo-zhang-ucsb / did_multiplegt
  Estimation in sharp Difference-in-Difference designs with multiple groups and periods
  ☆20Updated 4 years 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"
  ☆13Updated last year
• pedrohcgs / pstest
  Specification test for the propensity score
  ☆14Updated 2 years ago
• eleanormurray / DiD_Tutorial
  Tutorial on the implementation of difference-in-difference analyses for estimating the effect of a group-level treatment among the treate…
  ☆13Updated last year
• gphk-metrics / stata-multe
  Multiple Treatment Effects
  ☆23Updated 11 months ago
• xuyiqing / lalonde
  Replications data and code for "LaLonde (1986) after Nearly Four Decades: Lessons Learned"
  ☆20Updated last year
• dhopp1 / nowcastDFM
  Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.
  ☆28Updated 2 years ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated 2 months ago
• pp4rs / 2020-uzh-course-material
  Course material for the Winter 2020 Edition of PP4RS at Uni Zurich
  ☆19Updated 5 years ago
• vsemenova / econ241C
  Machine Learning for Economics
  ☆18Updated 2 years ago
• bcallaway11 / did_chapter
  Code for DID chapter
  ☆11Updated 2 years ago
• kylebutts / Difference-in-Differences-Ring-Method
  ☆20Updated 2 years ago
• bryangraham / netrics
  A Python 3.7 package for the econometric analysis of networks
  ☆22Updated 8 months ago
• ariedamuco / event-study
  ☆12Updated 11 months ago
• bcallaway11 / twfeweights
  TWFE weights
  ☆9Updated 7 months ago
• gzervas / torchfe
  High-dimensional fixed effect estimation with pytorch
  ☆18Updated 4 years ago
• azev77 / Compare-DiD-Estimators
  ☆36Updated 3 years ago
• fhollenbach / did_compare
  R-code to compare some staggered did methods
  ☆26Updated 3 years ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• lukestein / steincoresummary
  Luke Stein's summary notes from the Stanford graduate economics core
  ☆23Updated 6 years ago
• tylerJPike / OOS
  Out-Of-Sample Time Series Forecasting: OOS introduces a comprehensive framework for time series forecasting with traditional econometric …
  ☆10Updated 4 years ago
• kolesarm / ebci
  Robust empirical Bayes confidence intervals
  ☆11Updated 10 months ago
• floswald / ScPoProgramming
  ☆11Updated 8 months ago