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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 smfa.

Usage

# S3 method for class 'smfa'
ic(object, IC = NULL, ...)

Arguments

object

A stochastic metafrontier model returned by smfa.

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 a data frame with the values of the information criteria (AIC, BIC and HQIC) of the maximum likelihood coefficients. If the IC argument is provided, it returns only the requested criterion as a numeric value.

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

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