Pedro H. C. Sant'Anna

claude-code-my-workflow. A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

JEL-DiD. HTML

DRDID. Doubly Robust Difference-in-Differences Estimators

CS_RR. R

causalML-teaching. This repository consolidates my teaching material for "Causal Machine Learning".

pstest. Specification test for the propensity score

DScourseS24_Ransom. Materials for Econ 5253 Data Science for Economists course at U of Oklahoma

applied_metrics. A PhD course in Applied Econometrics and Panel Data

Claude-Mini. 4-hour Notre Dame faculty seminar on agentic AI for academic research — Quarto slides + curated demo bundle. Companion to claude-code-my-workflow.

MarcusSantAnna2020. R

IPS. IPS: Covariate Distribution Balance via Integrated Propensity Scores

micro-metrics. This is a 2nd Year PhD Course In Micro-econometrics

did2. Difference in Differences with Multiple Periods and Variation in Treatment Timing

KMDR-replication. Kaplan-Meier Distribution Regression: Replication files for Delgado, Garcia-Suaza and Sant'Anna (2021)

augsynth. Augmented Synthetic Control Method

IPS_replication. Replication files for Sant'Anna, Song and Xu (2021), "Covariate Distribution Balance via Propensity Scores"

Difference-in-Differences. Difference-in-Differences

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.

csdid-stata. Stata files for csdid package

kmte. Treatment Effects with Censored Outcomes

didFF. R

comp_did. Difference-in-Differences with compositional changes R package

RS_Staggered_simulations. Files to replicate the simulation results in Roth and Sant'Anna (2023)

RS_Staggered_application. R

modified_DMLDiD_RCS. Jupyter Notebook

teffectsR. R versions of Stata teffects functions

annotated_latex_equations. Examples of how to create colorful, annotated equations in Latex using Tikz.