Pinned Repositories
alternative-synthetic-control-sparsity
An alternative to synthetic control for models with many covariates under sparsity
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
augsynth
Augmented Synthetic Control Method
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
autoCovariateSelection
R Package to Implement Automated Covariate Selection for Two Exposure Cohorts Using High-Dimensional Propensity Score Algorithm
bacondecomp
Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
bartik-weight
BartikWithOpportunityIndex
biglasso
biglasso: Extending Lasso Model Fitting to Big Data in R
hayeszhou
Config files for my GitHub profile.
hayeszhou's Repositories
hayeszhou/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
hayeszhou/balancer
Balancing weights for observational studies
hayeszhou/causal-descent
hayeszhou/causal-imputation-synthetic-interventions
hayeszhou/csdid2
New Version of CSDID. All in Mata
hayeszhou/DID_Handbook
This repository summarizes the traditional and recently proposed estimators for the difference-in-differences specifications.
hayeszhou/did_stepwise
Stata Package for implementing estimating Treatment Effects using the Stepwise DID estimator of Harmon (2023).
hayeszhou/doubleml-for-py
DoubleML - Double Machine Learning in Python
hayeszhou/dynamic_SDID
hayeszhou/DynBalancing
Dynamic Covariate Balancing for Estimating the Effects of Treatments over Time
hayeszhou/FDIDTutorial
This repository contains the Python code to estimate the Forward and Augmented DID estimators.
hayeszhou/Generalized-Imputation-Estimator
Generalized Imputation Estimator
hayeszhou/geocausal
Causal inference with spatio-temporal data in R
hayeszhou/guide-inequalities
hayeszhou/Lee_Wooldridge_2023
hayeszhou/LocalizedDebiasedMachineLearning
hayeszhou/maq
Qini curves for multi-armed treatment rules
hayeszhou/NetworkTargeting
R package implement Policy Targeting under Network Interference
hayeszhou/panel_data_method_review
DID, SC, SDID
hayeszhou/PanelMatch
hayeszhou/pte
Generic functions for treatment effects with panel data
hayeszhou/ripw
An R package for Reshaped Inverse Propensity Weighted (RIPW) Two-way fixed effects (TWFE) estimator
hayeszhou/stacked-did-weights
hayeszhou/staggered_rollout_design
hayeszhou/stata-honestdid
HonestDiD
hayeszhou/TPWD-Estimators
hayeszhou/unitdid
Providing functions for Unit-level Difference-in-Differences (Arkhangelsky, Yanagimoto, and Zohar, 2024)
hayeszhou/wooldid
Estimation of Difference-in-Differences Treatment Effects with Staggered Treatment Onset Using Heterogeneity-Robust Two-Way Fixed Effects Regressions
hayeszhou/XTDML
Double Machine Learning for panel data models with fixed effects
hayeszhou/yatchew_test
Yatchew (1997), de Chaisemartin and D'Haultfoeuille (2024) linearity test