Summary of results for stochastic metafrontier models

Create and print summary results for stochastic metafrontier models returned by smfa.

Usage

# S3 method for class 'smfa'
summary(object, ...)

# S3 method for class 'summary.smfa'
print(x, digits = max(3, getOption("digits") - 2), ...)

Arguments

object

An object of class 'smfa' returned by the function smfa.

...

Currently ignored.

x

An object of class 'summary.smfa'.

digits

Numeric. Number of digits displayed in values.

Value

The summary method returns a list of class 'summary.smfa' that contains the same elements as an object returned by smfa with the following additional elements:

AIC

Akaike information criterion.

BIC

Bayesian information criterion.

HQIC

Hannan-Quinn information criterion.

metaRes

Matrix of metafrontier estimates, their standard errors, z-values, and asymptotic P-values.

effStats

A list of efficiency statistics including group means and class membership probabilities.

grpSummaries

A list of summary objects for each group model.

See also

smfa, for the stochastic metafrontier analysis model fitting function for cross-sectional or pooled data.