heckit2fit: 2-step Heckman (heckit) estimation

In sampleSelection: Sample Selection Models

Description

These functions do the actual fitting of tobit-2 (sample selection), tobit-5 (switching regression) and normal-disturbance treatment effect models by the 2-step Heckman (heckit) estimation. They are called by selection or heckit and they are intended for sampleSelection internal use.

Usage

heckit2fit( selection, outcome, data=sys.frame(sys.parent()),
   weights = NULL, inst = NULL,
   printLevel=print.level, print.level = 0,
   maxMethod = "Newton-Raphson" )

heckit5fit( selection, outcome1, outcome2, data = sys.frame(sys.parent()),
   ys = FALSE, yo = FALSE, xs = FALSE, xo = FALSE, mfs = FALSE,
   mfo = FALSE,
   printLevel=print.level, print.level = 0, maxMethod = "Newton-Raphson", ... )

heckitTfit(selection, outcome, data=sys.frame(sys.parent()),
   ys=FALSE, yo=FALSE, xs=FALSE, xo=FALSE, mfs=FALSE, mfo=FALSE,
   printLevel=0, maxMethod="Newton-Raphson", ... )

Arguments

selection	formula for the probit estimation (1st step) (see selection).
outcome	formula to be estimated (2nd step). In case of treatment effect model, it may include the response indicator from selection equation.
outcome1	formula, the first outcome equation.
outcome2	formula, the second outcome equation.
data	a data frame containing the data.
weights	an optional vector of ‘prior weights’ to be used in the fitting process. Should be NULL or a numeric vector. Weights are currently only supported in type-2 models.
inst	an optional one-sided formula specifying instrumental variables for a 2SLS/IV estimation on the 2nd step.
ys, yo, xs, xo, mfs, mfo	logicals. If true, the response (y), model matrix (x) or the model frame (mf) of the selection (s) or outcome (o) equation(s) are returned.
print.level	numeric, values greater than 0 will produce increasingly more debugging information.
maxMethod	character string, a maximisation method supported by maxLik that is used for estimating the probit model (1st stage).
...	currently not used.

Value

see selection.

Author(s)

Arne Henningsen, Ott Toomet [e-mail]

References

see selection.

See Also

selection, heckit

sampleSelection documentation built on Dec. 15, 2020, 3:01 a.m.