predict.stabit2

Calculate predicted values for matching models fitted with functions <code>stabit</code> and <code>stabit2</code>.

summary

Implements structural estimators to correct for
the sample selection bias from observed outcomes in matching
markets. This includes one-sided matching of agents into groups
(Klein, 2015) <https://www.econ.cam.ac.uk/research-files/repec/cam/pdf/cwpe1521.pdf>
as well as two-sided matching of students to schools
(Aue et al., 2020) <https://ftp.zew.de/pub/zew-docs/dp/dp20032.pdf>.
The package also contains algorithms to find stable matchings
in the three most common matching problems: the stable roommates
problem (Irving, 1985) <doi:10.1016/0196-6774(85)90033-1>,
the college admissions problem (Gale and Shapley, 1962) <doi:10.2307/2312726>,
and the house allocation problem (Shapley and Scarf, 1974) <doi:10.1016/0304-4068(74)90033-0>.

Thilo Klein

matchingMarkets

Analysis of Stable Matchings

Robert Aue

Fahiem Bacchus

Sven Giegerich

Matthias Hericks

Alexander Sauer

Niklas Sorensson

predict.stabit2 function

<dl><dt>object</dt>
<dd>a fitted object of class <code>stabit</code></dd>
<dt>newdata</dt>
<dd>optionally, a data frame in which to look for variables with which to 
predict. If omitted, the fitted linear predictors or the fitted response values are returned.</dd>
<dt>...</dt>
<dd>.</dd></dl>

Arguments

Author

Predict method for fitted matching models — predict.stabit2

<dl>

<dt>object</dt>
<dd>a fitted object of class <code>stabit</code></dd>


<dt>newdata</dt>
<dd>optionally, a data frame in which to look for variables with which to 
predict. If omitted, the fitted linear predictors or the fitted response values are returned.</dd>


<dt>...</dt>
<dd>.</dd>

</dl>

Predict method for fitted matching models

predict.stabit2: Predict method for fitted matching models

Description

Usage

Value

Arguments

Author

References

Examples