MethodAtlas

Interactive Labs

Each method has a Tutorial lab that walks you through the method step by step, and a Replication lab that reproduces published results with real data.

MethodTutorialReplicationDownload Full Analysis Code
RStataPython
Experimental DesignTutorial →Replication →.R.do.py
OLS (Robust SEs, Clustering)Tutorial →Replication →.R.do.py
Logit / ProbitTutorial →Replication →.R.do.py
Poisson / Negative BinomialTutorial →Replication →.R.do.py
Fixed Effects (Two-Way FE)Tutorial →Replication →.R.do.py
Random EffectsTutorial →Replication →.R.do.py
Difference-in-Differences (Canonical 2×2)Tutorial →Replication →.R.do.py
Regression Discontinuity Design – SharpTutorial →Replication →.R.do.py
Regression Discontinuity Design – FuzzyTutorial →Replication →.R.do.py
Matching (PSM, CEM, NN, Weighting)Tutorial →Replication →.R.do.py
Instrumental Variables / 2SLSTutorial →Replication →.R.do.py
Event Studies (Dynamic Treatment Effects)Tutorial →Replication →.R.do.py
Staggered Adoption DiD (Modern Estimators)Tutorial →Replication →.R.do.py
Synthetic ControlTutorial →Replication →.R.do.py
Shift-Share / Bartik InstrumentsTutorial →Replication →.R.do.py
Doubly Robust / AIPW EstimationTutorial →Replication →.R.do.py
Causal Mediation AnalysisTutorial →Replication →.R.do.py
Synthetic Difference-in-DifferencesTutorial →Replication →.R.do.py
Double/Debiased Machine Learning (DML)Tutorial →Replication →.R.do.py
Causal Forests / Heterogeneous Treatment EffectsTutorial →Replication →.R.do.py