elas.npregHom: Elasticities of a Homogeneous Nonparametric Function

In micEconNP: Microeconomic Analysis with Non-Parametric Methods

Description

Calculate elasticities from a nonparametric regression with homogeneity of degree zero imposed on some variables.

Usage

## S3 method for class 'npregHom'
elas( object, data = NULL, yObs = FALSE, ... )

Arguments

object	object of class npregHom (returned by npregHom).
data	dataframe or a vector with named elements containing the data; if it is not specified, the data frame that was used for the nonparametric estimation is used for calculating elasticities.
yObs	logical. Use observed values of the andogenous variable. If FALSE (default) fitted values are used.
...	currently ignored.

Value

A data.frame, where each column corresponds to one of the continuous independent variables.

Author(s)

Arne Henningsen

See Also

npregHom.

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)

   # weights to impose
   weights <- c(
      pOutput = mean( germanFarms$qOutput ),
      pVarInput = mean( germanFarms$qVarInput ),
      pLabor = mean( germanFarms$qLabor ) )
   weights <- weights / sum( weights )

   # estimate an input demand function
   estResult <- npregHom( "qVarInput",
      xNames = c( "pOutput", "pVarInput", "pLabor", "land" ),
      data = germanFarms, homWeights = weights )

   # calculate elasticities
   elas( estResult )

micEconNP documentation built on May 2, 2019, 6:30 p.m.