impacts

Obtain the average marginal effects from <code>bingmm</code> or <code>binlgmm</code> class model.

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

impacts function

<dl><dt>object</dt>
<dd>an object of class <code>bingmm</code> or <code>binlgmm</code></dd>
<dt>...</dt>
<dd>Additional arguments to be passed.</dd></dl>

Arguments

Estimation of the average marginal effects for SARB models. — impacts

<dl>

<dt>object</dt>
<dd>an object of class <code>bingmm</code> or <code>binlgmm</code></dd>


<dt>...</dt>
<dd>Additional arguments to be passed.</dd>

</dl>

impacts: Estimation of the average marginal effects for SARB models.

Description

Usage

Value

Arguments