snqProfitShadowPrices: Shadow Prices of a SNQ Profit function

In micEconSNQP: Symmetric Normalized Quadratic Profit Function

Shadow Prices of a SNQ Profit function

Description

Calculates the shadow prices of a Symmetric Normalized Quadratic (SNQ) profit function.

Usage

   snqProfitShadowPrices( priceNames, fixNames, estResult = NULL,
   data = estResult$data, weights = estResult$weights,
   scalingFactors = estResult$scalingFactors,
   coef = estResult$coef, form = estResult$form )

Arguments

priceNames	a vector of strings containing the names of netput prices.
fixNames	an optional vector of strings containing the names of the quantities of (quasi-)fix inputs.
estResult	object returned by snqProfitEst.
data	a data frame containing the data.
weights	vector of weights of prices used for normalization.
scalingFactors	factors to scale prices (see details).
coef	a list containing the coefficients (at least delta and gamma).
form	the functional form to be estimated (see details).

Author(s)

Arne Henningsen

See Also

snqProfitEst, snqProfitCalc and snqProfitEla.

Examples

if( requireNamespace( 'micEcon', quietly = TRUE ) ) {
   data( germanFarms, package = "micEcon" )
   germanFarms$qOutput   <- germanFarms$vOutput   / germanFarms$pOutput
   germanFarms$qVarInput <- -germanFarms$vVarInput / germanFarms$pVarInput
   germanFarms$qLabor    <- -germanFarms$qLabor
   germanFarms$time      <- c( 0:19 )
   priceNames <- c( "pOutput", "pVarInput", "pLabor" )
   quantNames <- c( "qOutput", "qVarInput", "qLabor" )
   fixNames <- c( "land", "time" )

   estResult <- snqProfitEst( priceNames, quantNames, fixNames, data = germanFarms )

   snqProfitShadowPrices( priceNames, fixNames, estResult )
}

micEconSNQP documentation built on June 21, 2022, 5:07 p.m.