summary.HeckmanBS: Summary of Birnbaum-Saunders Heckman Model

In ssmodels: Sample Selection Models

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 class 'HeckmanBS'
summary(object, ...)

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.

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.

See Also

HeckmanBS

Examples

## Not run: 
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)

## End(Not run)

ssmodels documentation built on June 8, 2025, 10:49 a.m.