hayeszhou's Projects
An alternative to synthetic control for models with many covariates under sparsity
Repo for Yale Applied Empirical Methods PHD Course
Stata package to implement approximate randomization tests for inference with a small number of clusters
Augmented Synthetic Control Method
An experimental open-source attempt to make GPT-4 fully autonomous.
R Package to Implement Automated Covariate Selection for Two Exposure Cohorts Using High-Dimensional Propensity Score Algorithm
A curated list of causal inference libraries, resources, and applications.
Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
Balancing weights for observational studies
biglasso: Extending Lasso Model Fitting to Big Data in R
Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
Code examples from the book
neural network
Bias reduced fixed effect generalized linear models
The replication data and files for Liangjun Su, Zhentao Shi and Peter Phillips (2016, Econometrica): “Identifying Latent Structures in Panel Data”
Automated tool to look for heterogeneity in causally estimated treatment effects (e.g., from an experiment) by identifying subgroups
An R package for causal inference in time series
This repository consolidates my teaching material for "Causal Machine Learning".
CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
A repository for tracking developments in the climate/environmental/ecological economics literature
Replication code for Bergman, P., Chetty, R., DeLuca, S., Hendren, N., Katz, L. F., & Palmer, C. (2020)
Material for the paper "Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv"
Regression Discontinuity with Continuous Treatment - Dong, Lee, and Gou (2022)