tabulate_values

Function to tabulate the values the common regressors Xc whatever the dimension.

We implement linear regression when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked, based on D'Haultfoeuille, Gaillac, Maurel (2022) <doi:10.3386/w29953>. The package allows for common regressors observed in both datasets, and for various shape constraints on the effect of covariates on the outcome of interest. It also provides the tools to perform a test of point identification. See the associated vignette <https://github.com/cgaillac/RegCombin/blob/master/RegCombin_vignette.pdf> for theory and code examples.

Christophe Gaillac

RegCombin

Partially Linear Regression under Data Combination

Xavier D'Haultfoeuille

Arnaud Maurel

tabulate_values function

<dl><dt>k</dt>
<dd>the considered value in "values"</dd>
<dt>values</dt>
<dd>the different unique points of support of the common regressor Xc.</dd>
<dt>Xc0</dt>
<dd>dataset containing Xc, the common regressors.</dd>
<dt>dimXc</dt>
<dd>the dimension of Xc</dd></dl>

Arguments

Function to tabulate the values the common regressors Xc whatever the dimension. — tabulate_values

<dl>

<dt>k</dt>
<dd>the considered value in "values"</dd>


<dt>values</dt>
<dd>the different unique points of support of the common regressor Xc.</dd>


<dt>Xc0</dt>
<dd>dataset containing Xc, the common regressors.</dd>


<dt>dimXc</dt>
<dd>the dimension of Xc</dd>

</dl>

tabulate_values: Function to tabulate the values the common regressors Xc whatever the dimension.

Description

Usage

Value

Arguments