eprintid: 10089414
rev_number: 18
eprint_status: archive
userid: 608
dir: disk0/10/08/94/14
datestamp: 2020-02-25 19:32:37
lastmod: 2020-02-27 18:16:30
status_changed: 2020-02-25 19:32:37
type: working_paper
metadata_visibility: show
creators_name: Paula, AD
title: Econometric Models of Network Formation
ispublished: pub
divisions: UCL
divisions: A01
divisions: B03
divisions: C03
divisions: F24
keywords: Network econometrics, dyadic models, strategic network formation models.
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: This article provides a selective review on the recent literature on econometric models of network formation. The survey starts with a brief exposition on basic concepts and tools for the statistical description of networks. I then offer a review of dyadic models, focussing on statistical models on pairs of nodes and describe several developments of interest to the econometrics literature. The article also presents a discussion of non-dyadic models where link formation might be influenced by the presence or absence of additional links, which themselves are subject to similar influences. This is related to the statistical literature on conditionally specified models and the econometrics of game theoretical models. I close with a (non-exhaustive) discussion of potential areas for further development.
date: 2019
publisher: The Institute for Fiscal Studies
official_url: https://doi.org/10.1920/wp.cem.2020.420
oa_status: green
full_text_type: pub
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1711906
lyricists_name: de Paula, Aureo
lyricists_id: ANDEP72
actors_name: de Paula, Aureo
actors_id: ANDEP72
actors_role: owner
full_text_status: public
series: CWP4/20
place_of_pub: London, UK
pages: 44
citation:        Paula, AD;      (2019)    Econometric Models of Network Formation.                    (CWP4/20 ). The Institute for Fiscal Studies: London, UK.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10089414/1/arenetworks_v4.pdf