## S3 method for class 'cesEst'coef( object,...)## S3 method for class 'summary.cesEst'coef( object,...)## S3 method for class 'cesEst'fitted( object,...)## S3 method for class 'cesEst'residuals( object,...)## S3 method for class 'cesEst'vcov( object,...)
Arguments
object: an object of class cesEst
or summary.cesEst.
...: further arguments are currently ignored.
Returns
coef.cesEst returns a vector of the estimated coefficients.
coef.summary.cesEst returns a matrix with four columns: the estimated coefficients/parameters of the CES, their standard errors, the t-statistic, and corresponding (two-sided) P-values.
fitted.cesEst returns a vector of the fitted values.
residuals.cesEst returns a vector of the residuals.
vcov.cesEst returns the variance covariance matrix of the estimated coefficients.
See Also
cesEst and summary.cesEst.
Author(s)
Arne Henningsen and Geraldine Henningsen
Examples
data( germanFarms, package ="micEcon")# output quantity: germanFarms$qOutput <- germanFarms$vOutput / germanFarms$pOutput
# quantity of intermediate inputs germanFarms$qVarInput <- germanFarms$vVarInput / germanFarms$pVarInput
## CES: Land & Labor cesLandLabor <- cesEst("qOutput", c("land","qLabor"), germanFarms )# estimated coefficients coef( cesLandLabor )# estimated coefficients, their standard errors, t-statistic, P-values coef( summary( cesLandLabor ))# fitted values of the estimated model fitted( cesLandLabor )# residuals of the estimated model residuals( cesLandLabor )# covariance matrix of the estimated coefficients vcov( cesLandLabor )