statsmodels.stats.sandwich_covariance.cov_cluster_2groups¶

statsmodels.stats.sandwich_covariance.cov_cluster_2groups(results, group, group2=None, use_correction=True)[source]¶

cluster robust covariance matrix for two groups/clusters

Parameters:

results (result instance) – result of a regression, uses results.model.exog and results.resid TODO: this should use wexog instead
use_correction (bool) – If true (default), then the small sample correction factor is used.

Returns:

cov_both (ndarray, (k_vars, k_vars)) – cluster robust covariance matrix for parameter estimates, for both clusters
cov_0 (ndarray, (k_vars, k_vars)) – cluster robust covariance matrix for parameter estimates for first cluster
cov_1 (ndarray, (k_vars, k_vars)) – cluster robust covariance matrix for parameter estimates for second cluster

Notes

verified against Peterson’s table, (4 decimal print precision)