| translogEst {micEcon} | R Documentation |
Estimate a translog function.
translogEst( yName, xNames, data, quadHalf = TRUE, logValues = FALSE )
yName |
a string containing the name of the dependent variable. |
xNames |
a vector of strings containing the names of the independent variables. |
data |
dataframe containing the data. |
quadHalf |
logical. Multiply the quadratic terms by one half? |
logValues |
logical. Are the values in data already logged? |
a list of class translogEst containing following objects:
lm |
a list returned by lm. |
residuals |
residuals. |
fitted |
fitted values. |
coef |
a list containing the the estimated coefficients: alpha0 = α_0 (scalar), alpha = α_i (vector), beta = β_ij (matrix). |
allCoef |
vector of all coefficients. |
allCoefCov |
Covariance matrix of all coefficients. |
r2 |
R^2 value. |
r2bar |
adjusted R^2 value. |
nObs |
number of observations. |
model.matrix |
the model matrix. |
Arne Henningsen ahenningsen@agric-econ.uni-kiel.de
translogCalc, translogDeriv
and quadFuncEst.
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$time <- c(1:20)
# estimate a quadratic production function
estResult <- translogEst( "qOutput", c( "qLabor", "land", "qVarInput", "time" ),
germanFarms )
estResult$coef
estResult$r2