model.matrix.opsr

Construct Design Matrices for OPSR Model Fits

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

model.matrix.opsr function

<dl><dt>object</dt>
<dd>an object of class <code>"opsr"</code>.</dd>
<dt>data</dt>
<dd>a data frame containing the terms from <code>object$formula</code>. Passed to
<code>model.frame.opsr</code>. Can be omitted.</dd>
<dt>.filter</dt>
<dd>used internally in <code>predict.opsr</code> for counterfactual predictions.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Construct Design Matrices for OPSR Model Fits — model.matrix.opsr

<dl>

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


<dt>data</dt>
<dd>a data frame containing the terms from <code>object$formula</code>. Passed to
<code>model.frame.opsr</code>. Can be omitted.</dd>


<dt>.filter</dt>
<dd>used internally in <code>predict.opsr</code> for counterfactual predictions.</dd>


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

</dl>

model.matrix.opsr: Construct Design Matrices for OPSR Model Fits

Description

Usage

Value

Arguments

See Also