Hi,

I have run a regression model with cluster-robust standard errors, using the following command:

regress comf1 i.BB i.UB i.gender age edu1 income1 i.hc, cluster (hc)

Below is the results that I get: Array


As far as I know, when the t-value is larger than 1.96 the p-value should be significant at p < .05.
But the above results suggest that this is not the case here. Observations of the above results suggest that the t-value should be 2.72 to get a p-value significant at .05.
I guess stata is doing some sort of adjustment here. But I have no idea what this adjustment is? and why is it doing this adjustment?
std.errors are already adjusted for 5 clusters in hc as per my command. But is it adjusting the p-value cutoff for t-values? I know confidence intervals are consistent with p-values but I want to know what is happening with p-value cutoff here.
It would be appreciated if someone can clarify what is happening.

Thank you.