econet: An R Package for Parameter-Dependent Network Centrality Measures

Dublin Core

Title

econet: An R Package for Parameter-Dependent Network Centrality Measures

Subject

network econometrics, heterogeneous peer effects, endogenous network formation,
least-square estimators, maximum likelihood estimators, R

Description

The R package econet provides methods for estimating parameter-dependent network
centrality measures with linear-in-means models. Both nonlinear 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, Leone Sciabolazza, and Patacchini (2020

Creator

Marco Battaglini

Source

https://www.jstatsoft.org/article/view/v102i08

Publisher

Cornell University, EIEF, NBER

Date

April 2022

Contributor

Fajar bagus W

Format

PDF

Language

English

Type

Text

Files

Citation

Marco Battaglini, “econet: An R Package for Parameter-Dependent Network Centrality Measures,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8254.