summary.cesEst: Summarize Estimation of a CES Function
In micEconCES: Analysis with the Constant Elasticity of Substitution (CES) Function

Description Usage Arguments Value Author(s) See Also Examples

View source: R/summary.cesEst.R

summary method for objects of class cesEst.

## 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),
   ... )

`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.

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`).

Arne Henningsen

cesEst and cesCalc.

   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 )

   # print summary results
   summary( cesLandLabor )