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Summary of Generalized Heckman Model

Source: R/summary.HeckmanGe.R
summary.HeckmanGe.Rd

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).

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.

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.

See also

HeckmanGe

Examples

if (FALSE) { # \dontrun{
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)
} # }