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1. CausalAI-Course CausalAI-Course Public

   Lectures and Tutorials for the Causal AI course

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2. csdid csdid Public

   CSDID

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3. synthdid.py synthdid.py Public

   Python package for causal inference via Synthetic Difference-in-Differences. Supports block and staggered adoption designs, optional covariates, unit/time weight visualization, and standard error e…

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4. 14.388_py 14.388_py Public

   This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor Vi…

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5. mgtecon634_py mgtecon634_py Public

   This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford. Scripts were translated into Pyt…

   Jupyter Notebook 14 7

6. 14.388_r 14.388_r Public

   This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor…

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