print.te

Estimates ordered probit switching regression models - a Heckman
type selection model with an ordinal selection and continuous outcomes.
Different model specifications are allowed for each treatment/regime. For
more details on the method, see Wang & Mokhtarian (2024) <doi:10.1016/j.tra.2024.104072>
or Chiburis & Lokshin (2007) <doi:10.1177/1536867X0700700202>.

Daniel Heimgartner

OPSR

Ordered Probit Switching Regression

Xinyi Wang

print.te function

<dl><dt>x</dt>
<dd>an object of class <code>"te"</code>.</dd>
<dt>digits</dt>
<dd>minimum number of significant digits to be used for most numbers
(passed to <code><a href="/link/stats%3A%3AprintCoefmat?package=OPSR&version=1.0.1" data-mini-rdoc="OPSR::stats::printCoefmat">stats::printCoefmat</a></code>).</dd>
<dt>signif.legend</dt>
<dd>if <code>TRUE</code>, a legend for the 'significance stars' is printed.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Print Method for TE Objects — print.te

<dl>

<dt>x</dt>
<dd>an object of class <code>"te"</code>.</dd>


<dt>digits</dt>
<dd>minimum number of significant digits to be used for most numbers
(passed to <code><a href='https://rdrr.io/r/stats/printCoefmat.html'>stats::printCoefmat</a></code>).</dd>


<dt>signif.legend</dt>
<dd>if <code>TRUE</code>, a legend for the 'significance stars' is printed.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

print.te: Print Method for TE Objects

Description

Usage

Value

Arguments