Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
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Updated
Aug 5, 2024 - R
Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.
python module for wild cluster bootstrapping
Romano-Wolf p-value adjustments for multiple hypotheses testing via the wild bootstrap for objects of type fixest and fixest_multi from the fixest package
provides R codes for all the experiments in the paper "Panel Smooth Transition Regression Models"
Difference-in-differences study of mega-event host-city economic effects — a robust-looking +2.9% employment bump shown to be seasonal confounding. Synthetic validation + real BLS data, Python.
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