L_hNV_rho {ssfa} | R Documentation |
SSFA half-normal log likelihood function
Description
This function is used to estimate the parameters of the SSFA model where half-normal distribution of inefficiency term is assumed.
Usage
L_hNV_rho(p, y = y, X = X, sc = sc, w = w, sigmau2_sar = sigmau2_sar)
Arguments
p |
a vector with the parameters to be estimated. |
y |
the dependent variable. |
X |
the model matrix. |
sc |
specifies the form of the frontier model (-1 = cost, 1 = production). |
w |
the spatial weight matrix. |
sigmau2_sar |
is the variance of the spatial correlated part of the inefficiency term estimated into |
Value
Value of the SSFA log likelihood function.
Note
Please note that sigmau2_sar
is not a free parameter because it is estimated into the ssfa.fit
function.
See Also
[Package ssfa version 1.2.2 Index]