econet: Estimation of Parameter-Dependent Network Centrality Measures

Provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both non linear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the 'econet' package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Patacchini, and Leone Sciabolazza (2020). For additional details, see the vignette <doi:10.18637/jss.v102.i08>.

Getting started

Package details

AuthorMarco Battaglini [aut] (<>), Valerio Leone Sciabolazza [aut, cre] (<>), Eleonora Patacchini [aut] (<>), Sida Peng [aut] (<>)
MaintainerValerio Leone Sciabolazza <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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econet documentation built on April 28, 2022, 1:07 a.m.