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Summary of Heckman-t Model

Source: R/summary.HeckmantS.R
summary.HeckmantS.Rd

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).

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 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.

See also

HeckmantS

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 <- HeckmantS(selectEq, outcomeEq, data = MEPS2001, df = 12)
summary(model)
} # }