program-evaluation
There are 0 repository under program-evaluation topic.
OscarEngelbrektson / SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
Language:Python 158rdpackages / rdrobust
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
Language:Stata 65andrewheiss / evalf22.classes.andrewheiss.com
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
Language:HTML 60MasaAsami / pysynthdid
Synthetic difference in differences for Python
Language:Jupyter Notebook 57- evalsp23.classes.andrewheiss.com
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
Language:R 24 Regression Discontinuity Design Software Packages
Language:CSS 12Manipulation testing using local polynomial density methods.
Language:Stata 10📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
Language:R 7Finite-sample inference for RD designs using local randomization and related methods.
Language:Stata 6Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.
Language:Stata 3Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.
Language:Stata 3rpasquini / herramientas-econometricas-2022
Curso de Econometría con un aplicaciones en Python
Language:Jupyter Notebook 2agoryuno / robust_control
A PyTorch implementation of the "robust" synthetic control model
Language:Python 1athammad / syntCF
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.
Language:R 1a8dx / a8dx.github.io
Home for Anthony D'Agostino's professional webpage
Language:HTML 0ayuluo / Student-Outcomes-K-12-School-District
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 and student athlete status – which are predictive of graduation and of average ACT test score for students. In addition, we want to understand if average ACT test score is predictive of graduation or vice versa.
Language:Stata 0boiled-data / BART-Program-Evaluation
R Analysis + Code: Impact Evaluation Labor Market
Language:HTML 0de-barros / educ157-23
📊 🌐 🧑🏫 Website for undergraduate-level course on Educational Research and Evaluation (built with Quarto)
Language:HTML 0- Language:R 0
dorisyan1122 / Non-Paramatric-Testing
Program Evaluation with Non-Parametric Statistics and Hypothesis Testing
Language:HTMLdrganghe / program-evaluation
Course on Program Evaluation
Language:TeXigabr / Program_Evaluation
Program Evaluation - Econometrics
Language:Jupyter Notebook
