pedrohcgs

fastglm

Fast glm fitting via RcppEigen

dime-github-trainings

Training materials and other GitHub related information developed by DIME Analytics

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"

twfeweights

TWFE weights

csdid

CSDID

539b

(Advanced) Applied Econometrics

DScourseS24

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

causalHAL

Adaptive debiased machine learning of treatment effects with the highly adaptive lasso

matrix-completion

Bachelor Thesis in Econometrics, Maastricht University

causalML-teaching

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

stata-staggered

Stata version of R staggered package; see Roth and Sant’Anna (2023)

info8010-deep-learning

Lectures for INFO8010 Deep Learning, ULiège

npiv

Project with Xiaohong Chen and Tim Christensen: Nonparametric IV Estimation

differences

difference-in-differences in Python

didFF

Repository for R package didFF

quarto_website_template

Template of quarto website

r4ds-instructors

Instructors' Guide to accompany "R for Data Science"

teffectsR

R versions of Stata teffects functions

causaltune

AutoML for causal inference.

Instrumental-Variables

Instrumental Variables Mixtape Track taught by Peter Hull

Diff-in-Diff

R_guide

R instructions for our research projects

JFE_DID

This repo contains the code to replicate the analyses in Baker, Larcker, Wang.

experimentdatar

Datasets used in the AEA 2018 Continuing Education "Machine Learming and Econometrics" (Athey and Imbens, 2018)

ExperimentData

r-econ-visual-library

This is a repository maintained by DIME Analytics and containing example graphs on how to create graphs for data analysis of Impact Evaluations using R.

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.

did

A Stata package that acts as a wrapper for Callaway and Sant'anna's R did package

Manu

This package provides colour palettes derived from birds native to New Zealand

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course