sfa-package: Stochastic Frontier Analysis

In sfa: Stochastic Frontier Analysis

Stochastic Frontier Analysis

Description

Provides a user-friendly framework for estimating a wide variety of cross-sectional and panel stochastic frontier models. Suitable for a broad range of applications, the implementation offers extensive flexibility in specification and estimation techniques.

Details

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See Also

http://www.davidharrybernstein.com/software

Examples

## Simple application of the generalized true random effects estimator.
library(sfa)

data_trial <- data_gen_p(t=10,N=100,  rand = 100, 
                         sig_u = 1,   sig_v = 0.3, 
                         sig_r = .2,  sig_h = .4, 
                         cons  = 0.5, beta1 = 0.5,
                         beta2 = 0.5)

psfm(formula    = y_gtre ~ x1 + x2,    
     model_name = "GTRE", 
     data       = data_trial,
     individual = "name",
     PSopt      = FALSE)
               

sfa documentation built on Jan. 22, 2026, 1:08 a.m.