getSummary.bingmm

A generic function to collect coefficients and summary statistics from a <code>bingmm</code> object. It is used in <code>mtable</code>

The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators <doi:10.18637/jss.v107.i08>. It supports one-step (Pinkse and Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit model and compute the average marginal effects. All these models are presented in Sarrias and Piras (2023) <doi:10.1016/j.jocm.2023.100432>.

Mauricio Sarrias

spldv

Spatial Models for Limited Dependent Variables

Gianfranco Piras

Daniel McMillen

getSummary.bingmm function

<dl><dt>obj</dt>
<dd>a <code>bingmm</code> object,</dd>
<dt>alpha</dt>
<dd>level of the confidence intervals,</dd>
<dt>...</dt>
<dd>further arguments,</dd></dl>

Arguments

Get Model Summaries for use with "mtable" for objects of class bingmm — getSummary.bingmm

<dl>

<dt>obj</dt>
<dd>a <code>bingmm</code> object,</dd>


<dt>alpha</dt>
<dd>level of the confidence intervals,</dd>


<dt>...</dt>
<dd>further arguments,</dd>

</dl>

getSummary.bingmm: Get Model Summaries for use with "mtable" for objects of class bingmm

Description

Usage

Value

Arguments

Details