Causal Machine Learning Bookmarks
Causal Machine Learning
Dive into Causal Machine Learning, The World Bank and Pontificia Universidad Católica del Perú, Alexander Quispe et. al.
MIT 14.388: Inference on Causal and Structural Parameters Using ML and AI, Department of Economics, MIT, Victor Chernozukhov
MGTECON 634: ML-based Causal Inference, Stanford, Susan Athey
Machine Learning & Causal Inference: A Short Course, Stanford, Susan Athey, Jan Spiess, and Stefan Wager
2018 American Economic Association Continuing Education: Machine Learning and Econometrics, Susan Athey and Guido Imbens
DoubleML: Python and R Packages for the Double/Debiased Machine Learning Framework, P. Bach, V. Chernozhukov, M. S. Kurz, and M. Spindler
EconML: A Python Package for ML-based Heterogeneous Treatment Effects Estimation, Microsoft
CausalML: A Python Package for ML-based Causal Inference, Uber
Machine Learning and Big Data
2023 American Economic Association Continuing Education: Machine Learning and Big Data, Melissa Dell and Matthew Harding
Machine Learning for Economists (ml4econ), Bank of Israel, Itamar Caspi and Ariel Mansura
Causal Inference
Causal Inference: The Mixtape, Scott Cunningham
Causal Inference for the Brave and True, Matheus Facure
Causal Inference and Its Applications in Online Industry, Alex Deng
Applied Empirical Methods, Yale SOM, Paul Goldsmith-Pinkham
Causal Inference with Panel Data, Department of Political Science, Stanford, Yiqing Xu
Causal Inference: What If, Miguel A. Hernán and James M. Robins
Recent Developments in Difference-in-Differences, Vienna University of Economics and Business, Asjad Naqvi
Gov 2003: Causal Inference, Department of Government, Harvard, Matthew Blackwell