vcovG function

Generic Lego building block for Robust Covariance Matrix Estimators

Generic Lego building block for Robust Covariance Matrix Estimators

Generic Lego building block for robust covariance matrix estimators of the vcovXX kind for panel models.

vcovG(x, ...) ## S3 method for class 'plm' vcovG( x, type = c("HC0", "sss", "HC1", "HC2", "HC3", "HC4"), cluster = c("group", "time"), l = 0, inner = c("cluster", "white", "diagavg"), ... ) ## S3 method for class 'pcce' vcovG( x, type = c("HC0", "sss", "HC1", "HC2", "HC3", "HC4"), cluster = c("group", "time"), l = 0, inner = c("cluster", "white", "diagavg"), ... )

Arguments

  • x: an object of class "plm" or "pcce"
  • ...: further arguments
  • type: the weighting scheme used, one of "HC0", "sss", "HC1", "HC2", "HC3", "HC4",
  • cluster: one of "group", "time",
  • l: lagging order, defaulting to zero
  • inner: the function to be applied to the residuals inside the sandwich: one of "cluster" or "white" or "diagavg", or a user specified R function,

Returns

An object of class "matrix" containing the estimate of the covariance matrix of coefficients.

Details

vcovG is the generic building block for use by higher--level wrappers vcovHC(), vcovSCC(), vcovDC(), and vcovNW(). The main use of vcovG is to be used internally by the former, but it is made available in the user space for use in non--standard combinations. For more documentation, see see wrapper functions mentioned.

Examples

data("Produc", package="plm") zz <- plm(log(gsp)~log(pcap)+log(pc)+log(emp)+unemp, data=Produc, model="pooling") ## reproduce Arellano's covariance matrix vcovG(zz, cluster="group", inner="cluster", l=0) ## define custom covariance function ## (in this example, same as vcovHC) myvcov <- function(x) vcovG(x, cluster="group", inner="cluster", l=0) summary(zz, vcov = myvcov) ## use in coefficient significance test library(lmtest) ## robust significance test coeftest(zz, vcov. = myvcov)

References

\insertRef mil17bplm

See Also

vcovHC(), vcovSCC(), vcovDC(), vcovNW(), and vcovBK() albeit the latter does not make use of vcovG.

Author(s)

Giovanni Millo