Learn R Programming

ssmodels (version 2.0.1)

summary.HeckmanBS: Summary of Birnbaum-Saunders Heckman Model

Description

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

Usage

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

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.

Arguments

object

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

...

Additional arguments (currently unused).

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

Run this code
if (FALSE) {
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)
}

Run the code above in your browser using DataLab