Skip to contents

Summary of Birnbaum-Saunders Heckman Model

Source: R/summary.HeckmanBS.R
summary.HeckmanBS.Rd

Prints a detailed summary of the parameter estimates and model fit statistics for an object of class HeckmanBS.

Usage

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

Arguments

object

An object of class HeckmanBS, containing the fitted model results.

...

Additional arguments (currently unused).

Value

Prints to the console:

  • Model fit statistics (log-likelihood, AIC, BIC, number of observations).

  • Coefficient tables with standard errors and significance stars.

Invisibly returns NULL.

Details

This method provides a summary of the maximum likelihood estimation results for the Heckman sample selection model with Birnbaum-Saunders errors. It includes separate coefficient tables for:

  • Selection equation (Probit model),

  • Outcome equation,

  • Error terms (sigma and rho).

Model fit criteria such as the log-likelihood, AIC, and BIC are also reported.

See also

HeckmanBS

Examples

if (FALSE) { # \dontrun{
data(MEPS2001)
attach(MEPS2001)
selectEq <- dambexp ~ age + female + educ + blhisp + totchr + ins + income
outcomeEq <- ambexp ~ age + female + educ + blhisp + totchr + ins
model <- HeckmanBS(selectEq, outcomeEq, data = MEPS2001)
summary(model)
} # }