Program Evaluation - Econometrics

We analyze two student outcomes – student GPA and average ACT test score for 1000 12th graders at the given school district. Specifically, we want to understand, among all the information we know about these students – demographics (gender, ethnicity, special education status, age, household income, and performance index), AP course taking, GPA …

syntCF is an R package that provides a set of tools to estimate the effect of a program or a policy using a robust time series synthetic counterfactual approach coupled with the double difference estimator within a Machine Learning framework.

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

Curso de Econometría con un aplicaciones en Python

A PyTorch implementation of the "robust" synthetic control model

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

R Analysis + Code: Impact Evaluation Labor Market

Program Evaluation with Non-Parametric Statistics and Hypothesis Testing

A Python package for causal inference using Synthetic Controls

Home for Anthony D'Agostino's professional webpage

Synthetic difference in differences for Python

📊 🌐 🧑‍🏫 Website for undergraduate-level course on Educational Research and Evaluation (built with Quarto)

Course on Program Evaluation

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.

Finite-sample inference for RD designs using local randomization and related methods.

Manipulation testing using local polynomial density methods.

Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.