summary.HeckmanSK {ssmodels} | R Documentation |
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 |
... |
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
, andlambda
).
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
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)