econet: An R Package for Parameter-Dependent Network Centrality Measures
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 netw...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Foundation for Open Access Statistics
2022-04-01
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Series: | Journal of Statistical Software |
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Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/3508 |
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author | Marco Battaglini Valerio Leone Sciabolazza Eleonora Patacchini Sida Peng |
author_facet | Marco Battaglini Valerio Leone Sciabolazza Eleonora Patacchini Sida Peng |
author_sort | Marco Battaglini |
collection | DOAJ |
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). |
first_indexed | 2024-03-13T08:00:06Z |
format | Article |
id | doaj.art-62b9d68ba0414e18a8602ba327bde2d5 |
institution | Directory Open Access Journal |
issn | 1548-7660 |
language | English |
last_indexed | 2024-03-13T08:00:06Z |
publishDate | 2022-04-01 |
publisher | Foundation for Open Access Statistics |
record_format | Article |
series | Journal of Statistical Software |
spelling | doaj.art-62b9d68ba0414e18a8602ba327bde2d52023-06-01T18:48:04ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602022-04-0110213010.18637/jss.v102.i083356econet: An R Package for Parameter-Dependent Network Centrality MeasuresMarco Battaglini0https://orcid.org/0000-0001-9690-0721Valerio Leone Sciabolazza1https://orcid.org/0000-0003-2537-3084Eleonora Patacchini2https://orcid.org/0000-0002-3510-2969Sida Peng3Cornell University, EIEF, NBERSapienza University of Rome, CEISCornell University, EIEFMicrosoft ResearchThe 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).https://www.jstatsoft.org/index.php/jss/article/view/3508network econometricsheterogeneous peer effectsendogenous network formationleast-square estimatorsmaximum likelihood estimatorsr |
spellingShingle | Marco Battaglini Valerio Leone Sciabolazza Eleonora Patacchini Sida Peng econet: An R Package for Parameter-Dependent Network Centrality Measures Journal of Statistical Software network econometrics heterogeneous peer effects endogenous network formation least-square estimators maximum likelihood estimators r |
title | econet: An R Package for Parameter-Dependent Network Centrality Measures |
title_full | econet: An R Package for Parameter-Dependent Network Centrality Measures |
title_fullStr | econet: An R Package for Parameter-Dependent Network Centrality Measures |
title_full_unstemmed | econet: An R Package for Parameter-Dependent Network Centrality Measures |
title_short | econet: An R Package for Parameter-Dependent Network Centrality Measures |
title_sort | econet an r package for parameter dependent network centrality measures |
topic | network econometrics heterogeneous peer effects endogenous network formation least-square estimators maximum likelihood estimators r |
url | https://www.jstatsoft.org/index.php/jss/article/view/3508 |
work_keys_str_mv | AT marcobattaglini econetanrpackageforparameterdependentnetworkcentralitymeasures AT valerioleonesciabolazza econetanrpackageforparameterdependentnetworkcentralitymeasures AT eleonorapatacchini econetanrpackageforparameterdependentnetworkcentralitymeasures AT sidapeng econetanrpackageforparameterdependentnetworkcentralitymeasures |