GitHub topics: clustered-standard-errors
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Language: Python - Size: 142 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 984 - Forks: 184
FixedEffects/FixedEffectModels.jl
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Language: Julia - Size: 1.96 MB - Last synced at: 6 days ago - Pushed at: 12 days ago - Stars: 232 - Forks: 46
s3alfisc/fwildclusterboot
Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
Language: R - Size: 20.9 MB - Last synced at: 17 days ago - Pushed at: 9 months ago - Stars: 25 - Forks: 5
DiogoFerrari/ceser
Compute Cluster Estimated Standard Error (CESE)
Language: R - Size: 978 KB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
s3alfisc/summclust
R module for cluster specific information (as in the Stata summclust module)
Language: R - Size: 1.59 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 2
adrian-io/pisa-clustered-ols
Prediction of all countries’ PISA scores with macroeconomic indicators using pooled OLS with clustered standard errors
Language: Jupyter Notebook - Size: 85 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
calosor/ols_regression
OLS regression with possibility of controlling for fixed effects and robust standard errors
Language: Python - Size: 8.79 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
