fitted.mvoprobit

Extracts fitted values from 'mvoprobit' object

Estimate the parameters of multivariate endogenous switching and sample selection models using methods described in Newey (2009) <doi:10.1111/j.1368-423X.2008.00263.x>, E. Kossova, B. Potanin (2018) <https://ideas.repec.org/a/ris/apltrx/0346.html>, E. Kossova, L. Kupriianova, B. Potanin (2020) <https://ideas.repec.org/a/ris/apltrx/0391.html> and E. Kossova, B. Potanin (2022) <https://ideas.repec.org/a/ris/apltrx/0455.html>.

Potanin Bogdan

switchSelection

Endogenous Switching and Sample Selection Regression Models

Bogdan Potanin

Sofiia Dolgikh

fitted.mvoprobit function

<dl><dt>object</dt>
<dd>object of class 'mvoprobit'.</dd>
<dt>...</dt>
<dd>further arguments (currently ignored).</dd>
<dt>newdata</dt>
<dd>an optional data frame in which to look for variables 
with which to predict. If omitted, the original data frame used. 
This data frame should contain values of dependent variables even if they 
are not actually needed for prediction (simply assign them with 0 values).</dd></dl>

Arguments

Extract Model Fitted Values — fitted.mvoprobit

<dl>

<dt>object</dt>
<dd>object of class 'mvoprobit'.</dd>


<dt>...</dt>
<dd>further arguments (currently ignored).</dd>


<dt>newdata</dt>
<dd>an optional data frame in which to look for variables 
with which to predict. If omitted, the original data frame used. 
This data frame should contain values of dependent variables even if they 
are not actually needed for prediction (simply assign them with 0 values).</dd>

</dl>

fitted.mvoprobit: Extract Model Fitted Values

Description

Usage

Value

Arguments