summary.HeckmantS {ssmodels} | R Documentation |
Summary of Heckman-t Model
Description
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 |
... |
Additional arguments (currently unused). |
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
, anddf
).
Model fit statistics (log-likelihood, AIC, BIC, and number of observations) are also provided for model evaluation.
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(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)
## End(Not run)