Pedro H. C. Sant'Anna's repositories
DScourseS24_Ransom
Materials for Econ 5253 Data Science for Economists course at U of Oklahoma
causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
Difference-in-Differences
Difference-in-Differences
IPS_replication
Replication files for Sant'Anna, Song and Xu (2021), "Covariate Distribution Balance via Propensity Scores"
KMDR-replication
Kaplan-Meier Distribution Regression: Replication files for Delgado, Garcia-Suaza and Sant'Anna (2021)
Meta_learner-for-Causal-ML
This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.
Causal-Inference
Causal Inference Mixtape Sessions
annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
Instrumental-Variables
Instrumental Variables Mixtape Track
ReproducingDMLDiD
original paper: Chang, Neng-Chieh. "Double/debiased machine learning for difference-in-differences models." The Econometrics Journal 23.2 (2020): 177-191
causal_fused_lasso
Demos for the paper "O.-H. Madrid-Padilla, P. Ding, Y. Chen, G. Ruiz. A causal fused lasso for interpretable heterogeneous treatment effects estimation"
causalHAL
Adaptive debiased machine learning with the highly adaptive lasso
da_case_studies
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
differences
difference-in-differences in Python
Grant_DS_lectures
Lecture notes for EC 607
ISLP
ISLP package: data and code for labs
ISLP_labs
Up-to-date version of labs for ISLP
RS_Staggered_simulations
Files to replicate the simulation results in Roth and Sant'Anna (2023)
Schnabel_BSc_Thesis
Bachelor Thesis, Maastricht University
Surrogates-Replication-Code
Code to replicate GAIN application in Athey, Chetty, Imbens and Kang (2019) using simulated employment data