When is it more appropriate to use cov() vs corr() for the residual structures for panel data?
Example Code:
xtpoisson Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) corr(exchangeable)
xtnbreg Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) corr(independent)
mepoisson Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) || GroupID:, covariance(unstructured)
menbreg Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) || GroupID:, covariance(unstructured)
glm Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) vce(robust) family(gamma) link(identity)
Example Code:
xtpoisson Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) corr(exchangeable)
xtnbreg Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) corr(independent)
mepoisson Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) || GroupID:, covariance(unstructured)
menbreg Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) || GroupID:, covariance(unstructured)
glm Outcome CovariateA##CovariateB CovariateC CovariateD, exposure(area) vce(robust) family(gamma) link(identity)