Topic: clustered-standard-errors Goto Github
Some thing interesting about clustered-standard-errors
Some thing interesting about clustered-standard-errors
clustered-standard-errors,Prediction of all countriesโ PISA scores with macroeconomic indicators using pooled OLS with clustered standard errors
User: adrian-io
clustered-standard-errors,Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
User: bashtage
Home Page: https://bashtage.github.io/linearmodels/
clustered-standard-errors,OLS regression with possibility of controlling for fixed effects and robust standard errors
User: calosor
clustered-standard-errors,Compute Cluster Estimated Standard Error (CESE)
User: diogoferrari
clustered-standard-errors,Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Organization: fixedeffects
clustered-standard-errors,Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
User: s3alfisc
Home Page: https://s3alfisc.github.io/fwildclusterboot/
clustered-standard-errors,R module for cluster specific information (as in the Stata summclust module)
User: s3alfisc
Home Page: https://s3alfisc.github.io/summclust/
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