logLiks: The negative log likelihood function of the SFA

In sfa: Stochastic Frontier Analysis

Description

The negative log likelihood function is used for estimating the parameters. It varies depending on the distribution of the inefficence term u. L_hNV is used by halfnormal distribution of u. L_exp is used by exponential distribution of u. L_trunc is used by truncated normal distribution of u. L_trunc_mufest is used by truncated normal distribution of u and constant mu.

Usage

L_hNV(p, y = y, X = X, sc = sc)
L_exp(p, y = y, X = X, sc = sc)
L_trunc(p, y = y, X = X, sc = sc)
L_trunc_mufest(p, mu = mu, y = y, X = X, sc = sc)

Arguments

p	vector with the parameters to estimate
y	response
X	design matrix of the covariables
sc	specifies the form of the frontier model (-1 = cost, 1 = production)
mu	if known, the parameter mu

Value

returns the value of the log likelihood function

See Also

sfa

sfa documentation built on May 2, 2019, 4:38 a.m.