ModelEstimates-class: Model Estimation Results

Description

ModelEstimates stores information about MLE estimates of a spatial stochastic frontier model

Usage

status(object)
resultParams(object)
hessian(object)
stdErrors(object)
efficiencies(object)
# S4 method for ModelEstimates
show(object)
# S4 method for ModelEstimates
coefficients(object)
# S4 method for ModelEstimates
resultParams(object)
# S4 method for ModelEstimates
fitted(object)
# S4 method for ModelEstimates
efficiencies(object)
# S4 method for ModelEstimates
residuals(object)
# S4 method for ModelEstimates
stdErrors(object)
# S4 method for ModelEstimates
hessian(object)
# S4 method for ModelEstimates
status(object)
# S4 method for ModelEstimates
summary(object)

Arguments

object

an object of ModelEstimates class

Slots

coefficients: estimated values of model parameters

resultParams

raw estimated values

status

model estimation status: 0 - Success 1 - Failed; convergence is not achieved 1000 - Failed; unexpected exception 1001 - Failed; Initial values for MLE cannot be estimated 1002 - Failed; Maximum likelihood function is infinite

logL

value of the log-likelihood function

logLcalls

information abour a number of log-likelihood function and its gradient function calls

hessian

Hessian matrix for estimated coefficients

stdErrors

standard errors of estimated coefficients

residuals

model residuals

fitted

model fitted values

efficiencies

estimates of efficiency values for sample observations

Details

ModelEstimates stores all parameter estimates and additional statistics, available after estimation of a spatial stochastic frontier model.