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Cluster-robust (sandwich) variance estimators with small-sample corrections
Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)
Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
Any version of R -- with the matching version of CRAN
Adding guardrails to large language models.
A template for starting a reproducibility check. For development, see https://github.com/AEADataEditor/replication-template-development
This R package implements the tests from Elliot et al. (2022) for detecting p-Hacking.
Replication of methods matter by Brodeur et al. (2020)
Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)
Repo for Yale Applied Empirical Methods PHD Course
LeverageData / RTutor
Forked from skranz/RTutorCreating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)
Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/
Interactive Problem Set RTutorCompetitionPolicy
Market Analysis Course with Interactive RTutor Problemsets, Videos and Quizzes
Lecture notes for "Machine Learning for Economists", spring 2019 at HUJI
Material from the Big Data course at Chicago Booth