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Extract information criteria of stochastic metafrontier models

Source: R/ic.R
ic.Rd

ic returns information criterion from stochastic metafrontier models estimated with sfametafrontier.

Usage

# S3 method for class 'sfametafrontier'
ic(object, IC = "AIC", ...)

Arguments

object

A stochastic metafrontier model returned by sfametafrontier.

IC

Character string. Information criterion measure. Three criteria are available:

  • 'AIC' for Akaike information criterion (default)

  • 'BIC' for Bayesian information criterion

  • 'HQIC' for Hannan-Quinn information criterion

.

...

Currently ignored.

Value

ic returns the value of the information criterion (AIC, BIC or HQIC) of the maximum likelihood coefficients.

Details

The different information criteria are computed as follows:

  • AIC: \(-2 \log{LL} + 2 * K\)

  • BIC: \(-2 \log{LL} + \log{N} * K\)

  • HQIC: \(-2 \log{LL} + 2 \log{\left[\log{N}\right]} * K\)

where \(LL\) is the maximum likelihood value, \(K\) the number of parameters estimated and \(N\) the number of observations.

See also

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