Skip to contents

Summary of Classic Heckman Model

Source: R/summary.HeckmanCL.R
summary.HeckmanCL.Rd

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

Usage

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

Arguments

object

An object of class HeckmanCL, 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 classical Heckman sample selection model. It includes separate coefficient tables for:

  • Selection equation (Probit model),

  • Outcome equation,

  • Error terms (sigma and rho).

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

See also

HeckmanCL

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
model <- HeckmanCL(selectEq, outcomeEq, data = MEPS2001)
summary(model)
} # }