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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

arts-stata

Stata package to implement approximate randomization tests for inference with a small number of clusters

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

awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

bacondecomp

Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.

balancer

Balancing weights for observational studies

bartik-weight

bartikwithopportunityindex

biglasso

biglasso: Extending Lasso Model Fitting to Big Data in R

binsreg

Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.

bootstrapping

Code examples from the book

brain

neural network

brfeglm

Bias reduced fixed effect generalized linear models

c-lasso

The replication data and files for Liangjun Su, Zhentao Shi and Peter Phillips (2016, Econometrica): “Identifying Latent Structures in Panel Data”

causal-descent

causal-imputation-synthetic-interventions

causalgrid

Automated tool to look for heterogeneity in causally estimated treatment effects (e.g., from an experiment) by identifying subgroups

causalimpact

An R package for causal inference in time series

causalml-teaching

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

causalmodel

CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.

ccff_2021_wp

cjm_2021_joe

climate-econ

A repository for tracking developments in the climate/environmental/ecological economics literature

cmto-replication-code

Replication code for Bergman, P., Chetty, R., DeLuca, S., Hendren, N., Katz, L. F., & Palmer, C. (2020)

compare-did-estimators

competing_events_standsurv

Material for the paper "Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv"

continuousrd

Regression Discontinuity with Continuous Treatment - Dong, Lee, and Gou (2022)