summary.HeckmanSK: Summary of Skew-Normal Heckman Model

In ssmodels: Sample Selection Models

Summary of Skew-Normal Heckman Model

Description

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

Usage

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

Arguments

object	An object of class HeckmanSK, 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 Skew-Normal errors. It includes separate coefficient tables for:

• Selection equation (Probit model),

• Outcome equation,

• Error terms (sigma, rho, and lambda).

Additionally, it reports model fit statistics such as the log-likelihood, AIC, BIC, and the number of observations.

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

HeckmanSK

Examples

## Not run: 
data(Mroz87)
attach(Mroz87)
selectEq <- lfp ~ huswage + kids5 + mtr + fatheduc + educ + city
outcomeEq <- log(wage) ~ educ + city
model <- HeckmanSK(selectEq, outcomeEq, data = Mroz87, lambda = -1.5)
summary(model)

## End(Not run)

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