Estimation of Difference-in-Differences Treatment Effects with Staggered Treatment Onset Using Heterogeneity-Robust Two-Way Fixed Effects Regressions

• Updated Sep 26, 2026
• Stata

archived : use csdid instead

• Updated Mar 3, 2023
• HTML

optic: Simulation Tool for Causal Inference Using Longitudinal Data

• Updated Oct 26, 2026
• R

Synthetic difference in differences - Julia implementation of https://synth-inference.github.io/synthdid/

• Updated May 4, 2023
• Julia

Tested Python toolkit for Synthetic Control, DiD, SDID, placebo and conformal inference.

• Updated Oct 19, 2026
• Jupyter Notebook

Open-source Python framework for rigorous city-level geo-experimentation using synthetic controls, permutation inference, power analysis, and A/A calibration.

• Updated Sep 17, 2026
• Python

Financial Event Study made easy

• Updated Oct 10, 2025
• Jupyter Notebook

This is a showcase code from a real quasi-experiment (Diff-in-Diff) evaluation I led with Save the children US in Iraq on child rearing practices and early childhood development.

• Updated Sep 14, 2024
• Stata

Causal analysis simulations

• Updated Jan 31, 2023
• Jupyter Notebook

Project for UCL module CASA0006: Data Science for Spatial Systems. Exploring the Impact of Low Emission Zones on London House Prices

• Updated Apr 4, 2025
• Jupyter Notebook

Building Safer Communities – Evaluating Cure Violence Program’s Impact in NYC

• Updated Mar 20, 2024
• HTML

Keeping track of what is going on with the latest DiD innovations.

• Updated Oct 28, 2021
• HTML

We replicated some of the main results of "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania" by David Card and Alan Krueger (AER 1994).

• Updated Dec 31, 2021
• R

Pricing experiment case study evaluating the impact of a first-purchase discount using business and causal inference approaches.

• Updated Apr 15, 2026
• Jupyter Notebook

Applying Difference-in-difference to the World Bank Climate aid allocation in Latin America. What has changed after the Escazu Agreement in 2018?

• Updated Dec 15, 2023
• R

This repo contains a GBQ script that pulls, cleans, and aggregates data of a hybrid experiment (AB & diff-in-diff). The R script contains a logic that analyzes the performance and significance of the results according to key success metrics

• Updated Jun 6, 2022
• R

Final Project of Empirical Econ Analysis at Duke Fuqua (Oct 2022)

• Updated Jan 7, 2023

Causal Econometrics (M.A. course at UNISG, Python code)

• Updated Mar 1, 2022
• Python

Causal inference tools for panel data

• Updated Jul 22, 2025
• Jupyter Notebook

Data, Code and other material for CodeChella concert

• Updated Jul 27, 2021
• Stata