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Summary of Skew-Normal Heckman Model

Source: R/summary.HeckmanSK.R
summary.HeckmanSK.Rd

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).

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 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.

See also

HeckmanSK

Examples

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