summary.HeckmanGe: Summary of Generalized Heckman Model

In ssmodels: Sample Selection Models

Summary of Generalized Heckman Model

Description

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

Usage

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

Arguments

object	An object of class HeckmanGe, containing the fitted model results.
...	Additional arguments (currently unused).

Details

This method displays the maximum likelihood estimation results for the generalized Heckman sample selection model. It includes separate coefficient tables for:

• Selection equation (Probit model),

• Outcome equation,

• Dispersion (scale) model parameters,

• Correlation model parameters.

Model fit statistics (log-likelihood, AIC, BIC, and number of observations) are also reported for interpretation and model assessment.

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

HeckmanGe

Examples

## Not run: 
data(MEPS2001)
attach(MEPS2001)
selectEq <- dambexp ~ age + female + educ + blhisp + totchr + ins + income
outcomeEq <- lnambx ~ age + female + educ + blhisp + totchr + ins
outcomeS <- ~ educ + income
outcomeC <- ~ blhisp + female
model <- HeckmanGe(selectEq, outcomeEq, outcomeS = outcomeS, outcomeC = outcomeC, data = MEPS2001)
summary(model)

## End(Not run)

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