Description Usage Arguments Author(s) See Also Examples
View source: R/snqProfitHessian.R
Returns the Hessian (substitution) matrix of a Symmetric Normalized Quadratic (SNQ) Profit Function.
1 2 |
beta |
matrix of the beta coefficients. |
prices |
vector of netput prices at which the Hessian should be calculated. |
weights |
vector of weights of prices for normalization. |
scalingFactors |
factors to scale prices (and quantities). |
Arne Henningsen
snqProfitEst
, snqProfitEla
and
snqProfitHessianDeriv
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # just a stupid simple example
snqProfitHessian( matrix(101:109,3,3), c(1,1,1), c(0.4,0.3,0.3) )
# now with real data
data( germanFarms, package = "micEcon" )
germanFarms$qOutput <- germanFarms$vOutput / germanFarms$pOutput
germanFarms$qVarInput <- -germanFarms$vVarInput / germanFarms$pVarInput
germanFarms$qLabor <- -germanFarms$qLabor
germanFarms$time <- c( 0:19 )
priceNames <- c( "pOutput", "pVarInput", "pLabor" )
quantNames <- c( "qOutput", "qVarInput", "qLabor" )
estResult <- snqProfitEst( priceNames, quantNames, c("land","time"), data=germanFarms )
estResult$hessian # the Hessian at mean prices and mean quantities
# Hessian at the last observation (1994/95)
snqProfitHessian( estResult$coef$beta, estResult$data[ 20, priceNames ],
estResult$weights, estResult$scalingFactors )
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