Pinned Repositories
did
Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did
csdid
CSDID
staggered
applied_metrics
A PhD course in Applied Econometrics and Panel Data
causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
CS_RR
didFF
DRDID
Doubly Robust Difference-in-Differences Estimators
MarcusSantAnna2020
pstest
Specification test for the propensity score
pedrohcgs's Repositories
pedrohcgs/DRDID
Doubly Robust Difference-in-Differences Estimators
pedrohcgs/CS_RR
pedrohcgs/pstest
Specification test for the propensity score
pedrohcgs/causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
pedrohcgs/DScourseS24_Ransom
Materials for Econ 5253 Data Science for Economists course at U of Oklahoma
pedrohcgs/Difference-in-Differences
Difference-in-Differences
pedrohcgs/IPS_replication
Replication files for Sant'Anna, Song and Xu (2021), "Covariate Distribution Balance via Propensity Scores"
pedrohcgs/KMDR-replication
Kaplan-Meier Distribution Regression: Replication files for Delgado, Garcia-Suaza and Sant'Anna (2021)
pedrohcgs/Causal-Inference
Causal Inference Mixtape Sessions
pedrohcgs/ReproducingDMLDiD
original paper: Chang, Neng-Chieh. "Double/debiased machine learning for difference-in-differences models." The Econometrics Journal 23.2 (2020): 177-191
pedrohcgs/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
pedrohcgs/Causal-Inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
pedrohcgs/causalHAL
Adaptive debiased machine learning with the highly adaptive lasso
pedrohcgs/didFF
pedrohcgs/differences
difference-in-differences in Python
pedrohcgs/Instrumental-Variables
Instrumental Variables Mixtape Track
pedrohcgs/modified_DMLDiD_RCS
pedrohcgs/RS_Staggered_application
pedrohcgs/synthdid
Synthetic difference in differences
pedrohcgs/Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment
Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"
pedrohcgs/da_case_studies
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
pedrohcgs/fastglm
Fast glm fitting via RcppEigen
pedrohcgs/Grant_DS_lectures
Lecture notes for EC 607
pedrohcgs/ISLP
ISLP package: data and code for labs
pedrohcgs/ISLP_labs
Up-to-date version of labs for ISLP
pedrohcgs/JFE_DID_Baker_et_al
This repo contains the code to replicate the analyses in Baker, Larcker, Wang.
pedrohcgs/pedrohcgs
pedrohcgs/RS_Staggered_simulations
Files to replicate the simulation results in Roth and Sant'Anna (2023)
pedrohcgs/Schnabel_BSc_Thesis
Bachelor Thesis, Maastricht University
pedrohcgs/showwhy