## S3 method for class 'cesEst'
summary( object, rSquaredLog = object$multErr, ela = TRUE, ... )
## S3 method for class 'summary.cesEst'
print( x, ela = TRUE, digits = max(3, getOption("digits") - 3),
... )
Arguments
object
an object returned by cesEst.
rSquaredLog
logical.
If FALSE (the default for models with additive error term),
the returned R^2-value measures the fraction of the explained
variance of the dependent variable in natural units.
If TRUE (the default for models with multiplicative error term),
the returned R^2-value measures the fraction of the explained
variance of the logarithmized dependent variable.
ela
logical. If TRUE (the default),
the summary method calculates
the (co)variances of the constant elasticities of substitution
and the print method prints these elasticities
together with corresponding summary statistics.
If FALSE,
the summary method does not
calculate the (co)variances of the constant elasticities of substitution
and the print method does not print these elasticities.
x
an object returned by summary.cesEst.
digits
number of digits.
...
further arguments are currently ignored.
Value
summary.cesEst returns a list of class summary.cesEst
that contains the elements of the provided object with with
following changes or additions:
coefficients
a matrix with four columns:
the estimated coefficients/parameters of the CES
(including a possible fixed rho),
their standard errors, the t-statistic,
and corresponding (two-sided) P-values.
sigma
square root of the estimated (asymptotic) variance
of the random error
(calculated without correcting for degrees of freedom).
r.squared
R^2-value, i.e. the
‘fraction of variance explained by the model’.
If argument rSquaredLog is TRUE,
the R^2-value measures the fraction of the explained
variance of the logarithmized dependent variable.
vcov
covariance matrix of the estimated parameters
(including a possible fixed rho).
ela
a matrix with four columns:
the estimated elasticities of substitution,
their standard errors, the t-statistic,
and corresponding (two-sided) P-values
(only if argument ela is TRUE).
elaCov
covariance matrix of the estimated
elasticities of substitution
(only if argument ela is TRUE).