Calculation of the log likelihood function for the spatial stochastic frontier model

Description

logLikelihood returns a value of the log likelihood function for the spatial stochastic frontier model

Usage

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logLikelihood(formula, data, W_y = NULL, W_v = NULL, W_u = NULL,
  inefficiency = "half-normal", values, logging = c("quiet", "info",
  "debug"), costFrontier = F)

Arguments

formula

an object of class "formula"

data

data frame, containing the variables in the model

W_y

a spatial weight matrix for spatial lag of the dependent variable

W_v

a spatial weight matrix for spatial lag of the symmetric error term

W_u

a spatial weight matrix for spatial lag of the inefficiency error term

inefficiency

sets the distribution for inefficiency error component. Possible values are 'half-normal' (for half-normal distribution) and 'truncated' (for truncated normal distribution). By default set to 'half-normal'.

values

a vector of log likelihood function parameters

logging

an optional level of logging. Possible values are 'quiet','warn','info','debug'. By default set to quiet.

costFrontier

is designed for selection of cost or production frontier

Details

This function is exported from the package for testing and presentation purposes A list of arguments of the function exactly matches the corresponding list of the spfrontier function