print.simcdEy

summary.simcdEy

print.summary.simcdEy

Summary and print methods for the class <code>simcdEy</code> as returned by the function simcdEy.

Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004; <doi:10.1111/j.1468-0262.2004.00558.x>), Tobit models (Xu and Lee, 2015; <doi:10.1016/j.jeconom.2015.05.004>), and discrete numerical data models (Houndetoungan, 2024; <doi:10.2139/ssrn.3721250>). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017; <doi:10.3982/ECTA12679>) and exponential random graph models (Mele, 2017; <doi:10.3982/ECTA10400>).

Aristide Houndetoungan

CDatanet

Econometrics of Network Data

print.simcdEy function

<dl><dt>x</dt>
<dd>an object of class <code>summary.simcdEy</code>, output of the function <code>summary.simcdEy</code> or class <code>simcdEy</code>, output of the function <code>simcdEy</code>.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>
<dt>object</dt>
<dd>an object of class <code>simcdEy</code>, output of the function <code>simcdEy</code>.</dd></dl>

Arguments

Printing the Average Expected Outcomes for Count Data Models with Social Interactions — print.simcdEy

<dl>

<dt>x</dt>
<dd>an object of class <code>summary.simcdEy</code>, output of the function <code>summary.simcdEy</code> or class <code>simcdEy</code>, output of the function <code>simcdEy</code>.</dd>


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


<dt>object</dt>
<dd>an object of class <code>simcdEy</code>, output of the function <code>simcdEy</code>.</dd>

</dl>

print.simcdEy: Printing the Average Expected Outcomes for Count Data Models with Social Interactions

Description

Usage

Value

Arguments