translogDeriv {micEcon}R Documentation

Derivatives of a translog function

Description

Calculate the derivatives of a translog function.

Usage

   translogDeriv( xNames, data, allCoef, allCoefCov = NULL,
   quadHalf = TRUE, logValues = FALSE )

Arguments

xNames a vector of strings containing the names of the independent variables.
data dataframe containing the data.
allCoef vector containing all coefficients.
allCoefCov optional covariance matrix of the coefficients.
quadHalf logical. Multiply the quadratic terms by one half?
logValues logical. Are the values in data already logged?

Value

a list of class translogDeriv containing following objects:

deriv data frame containing the derivatives.
variance data frame containing the variances of the derivatives (not implemented yet).
stdDev data frame containing the standard deviations of the derivatives (not implemented yet).

Author(s)

Arne Henningsen ahenningsen@agric-econ.uni-kiel.de

See Also

translogEst, translogCalc nad translogHessian

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 <- translogEst( "qOutput", c( "qLabor", "land", "qVarInput", "time" ),
      germanFarms )

   # compute the marginal products of the inputs
   margProducts <- translogDeriv( c( "qLabor", "land", "qVarInput", "time" ),
      germanFarms, estResult$allCoef, estResult$allCoefCov )
   margProducts$deriv

[Package micEcon version 0.1-3 Index]