quadFuncEla( xNames, data, coef, yName = NULL,
shifterNames = NULL, homWeights = NULL )
## S3 method for class 'quadFuncEst'
elas( object, data = NULL, yObs = FALSE, ... )
Arguments
xNames
a vector of strings containing the names of the
independent variables.
data
dataframe or a vector with named elements containing the data;
if argument data of elas.quadFuncEst is not specified,
the data frame that was used for the estimation
is used for calculating elasticities.
coef
vector containing all coefficients.
yName
an optional string containing the name of the dependent
variable.
If it is NULL, the dependent variable is calculated
from the independent variables and the coefficients.
shifterNames
an optional vector of strings containing the names
of the independent variables that are included
as shifters only (not in quadratic or interaction terms).
homWeights
numeric vector with named elements that are weighting factors
for calculating an index that is used to normalize the variables
for imposing homogeneity of degree zero in these variables
(see documentation of quadFuncEst).
object
object of class quadFuncEst
(returned by quadFuncEst).
yObs
logical. Use observed values of the endogenous variable.
If FALSE (default) predicted values calculated by
quadFuncCalc are used.
...
currently ignored.
Value
A data.frame of class quadFuncEla,
where each column corresponds to one of the independent variables.
Author(s)
Arne Henningsen
See Also
quadFuncEst, quadFuncDeriv, and
quadFuncCalc.
Examples
data( germanFarms )
# output quantity:
germanFarms$qOutput <- germanFarms$vOutput / germanFarms$pOutput
# quantity of variable inputs
germanFarms$qVarInput <- germanFarms$vVarInput / germanFarms$pVarInput
# a time trend to account for technical progress:
germanFarms$time <- c(1:20)
# estimate a quadratic production function
estResult <- quadFuncEst( yName = "qOutput",
xNames = c( "qLabor", "land", "qVarInput", "time" ),
data = germanFarms )
# compute the partial production elasticities with "fitted" output
elaFit <- quadFuncEla( xNames = c( "qLabor", "land", "qVarInput", "time" ),
data = germanFarms, coef = coef( estResult ) )
elaFit
# same as
elaFit2 <- elas( estResult )
all.equal( elaFit, elaFit2 )
# compute the partial production elasticities with observed output
elaObs <- quadFuncEla( xNames = c( "qLabor", "land", "qVarInput", "time" ),
data = germanFarms, coef = coef( estResult ), yName = "qOutput" )
elaObs
# same as
elaObs2 <- elas( estResult, yObs = TRUE )
all.equal( elaObs, elaObs2 )