summary.HeckmantS: Summary of Heckman-t Model

In ssmodels: Sample Selection Models

Summary of Heckman-t Model

Description

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

Usage

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

Arguments

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

Details

This method displays the maximum likelihood estimation results for the Heckman sample selection model with Student's t-distributed errors. It includes separate coefficient tables for:

• Selection equation (Probit model),

• Outcome equation,

• Error terms (including sigma, rho, and df).

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

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

HeckmantS

Examples

## Not run: 
data(MEPS2001)
attach(MEPS2001)
selectEq <- dambexp ~ age + female + educ + blhisp + totchr + ins + income
outcomeEq <- lnambx ~ age + female + educ + blhisp + totchr + ins
model <- HeckmantS(selectEq, outcomeEq, data = MEPS2001, df = 12)
summary(model)

## End(Not run)

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