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Standard errors are robust.
Standard errors are robust and clustered on state.
Standard errors are robust and clustered at the state level.
Standard errors are robust standard errors to arbitrary heteroskedasticity.
Standard errors are robust with respect to hetereoschedasticity and non-independence within country clusters.
Reported standard errors are robust to nonindependence (and heteroscedasticity) within city cells (clustered by city).
Similar(47)
Standard errors were robust adjusted (Huber-White Sandwich method).
Standard errors were robust to heteroskedasticity and also accounted for repeated observations per physician.
We used robust clustered standard errors to reflect the fact that populations were not sampled independently and to ensure that standard errors were robust to serial correlation in the data.
We can see that both Student-t and exponential power errors fits are robust against outliers.
c In all estimations, the standard errors reported are robust to heteroskedasticity.
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