model.frame.selection

Return the variables used for estimating a sample selection model

methods

Two-step
and maximum likelihood estimation
of Heckman-type sample selection models:
standard sample selection models (Tobit-2),
endogenous switching regression models (Tobit-5),
sample selection models with binary dependent outcome variable,
interval regression with sample selection (only ML estimation),
and endogenous treatment effects models.
These methods are described in the three vignettes
that are included in this package
and in econometric textbooks such as
Greene (2011, Econometric Analysis, 7th edition, Pearson).

Arne Henningsen

sampleSelection

Sample Selection Models

Ott Toomet

Sebastian Petersen

model.frame.selection function

<dl> <dt>formula</dt>
<dd>object of class <code>selection</code>.</dd> <dt>...</dt>
<dd>further arguments passed to other methods
 (e.g. <code><a href="/link/model.frame?package=sampleSelection&version=1.2-14" data-mini-rdoc="sampleSelection::model.frame">model.frame</a></code> or <code>model.frame.binaryChoice</code>).</dd></dl>

Arguments

Author

Data of Selection Models — model.frame.selection

<dl>

 <dt>formula</dt>
<dd>object of class <code>selection</code>.</dd>

 <dt>...</dt>
<dd>further arguments passed to other methods
 (e.g. <code><a href='https://rdrr.io/r/stats/model.frame.html'>model.frame</a></code> or <code>model.frame.binaryChoice</code>).</dd>

</dl>

model.frame.selection: Data of Selection Models

Description

Usage

Value

Arguments

Author

See Also