cobbDouglasCalc {micEcon}R Documentation

Calculate dependent variable of a Cobb-Douglas function

Description

Calculate the dependent variable of a Cobb-Douglas function.

Usage

cobbDouglasCalc( xNames, data, coef, dataLogged = FALSE  )

Arguments

xNames a vector of strings containing the names of the independent variables.
data data frame containing the data.
coef vector containing the coefficients: if the elements of the vector have no names, the first element is taken as intercept of the logged equation and the following elements are taken as coefficients of the independent variables defined in argument xNames (in the same order); if the elements of coef have names, the element named a_0 is taken as intercept of the logged equation and the elements named a_1, ..., a_n are taken as coefficients of the independent variables defined in argument xNames (numbered in that order).
dataLogged logical. Are the values in data already logged?

Value

A vector containing the endogenous variable. If the inputs are provided as logarithmic values (argument dataLogged is TRUE), the endogenous variable is returned as logarithm; non-logarithmic values are returned otherwise.

Author(s)

Arne Henningsen

See Also

translogCalc, cobbDouglasOpt.

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 Cobb-Douglas production function
   estResult <- translogEst( "qOutput", c( "qLabor", "land", "qVarInput", "time" ),
      germanFarms, linear = TRUE )

   cobbDouglasCalc( c( "qLabor", "land", "qVarInput", "time" ), germanFarms,
      coef( estResult )[ 1:5 ] )
   #equal to estResult$fitted

[Package micEcon version 0.5-14 Index]