Addressing Endogeneity in Actor-Speci fi c Network Measures

dc.contributor.author Boehmke, Frederick
dc.contributor.author Chyzh, Olga
dc.contributor.author Thies, Cameron
dc.contributor.author Chyzh, Olga
dc.contributor.department Political Science
dc.contributor.department Statistics
dc.date 2018-02-17T18:18:38.000
dc.date.accessioned 2020-06-30T06:24:14Z
dc.date.available 2020-06-30T06:24:14Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2015
dc.date.issued 2016-01-01
dc.description.abstract <p>The study of international relations (IR), and political science more broadly, has derived great benefits from the recent growth of conceptualizing and modeling political phenomena within their broader network contexts. More than just a novel approach to evaluating the old puzzles, network analysis provides a whole new way of theoretical thinking. Challenging the traditional dyad-driven approach to the study of IR, networks highlight actor interdependence that goes beyond dyads and emphasizes that many traditional IR variables, such as conflict, trade, alliances, or international organization memberships must be treated and studied as networks. Properties of these networks (e.g., polarization, density), and of actor positions within them (e.g., similarity, centrality), will then reveal important insights about international events. Network analysis, however, is not yet fully adapted to account for important methodological issues common to IR research, specifically the issue of endogeneity or possible nonindependence between actors’ position within international networks and the outcomes of interest: e.g. alliance network may be nonindependent from the conflict or trade network. We adopt an instrumental variables approach to explore and address the issue of endogeneity in network context. We illustrate the issue and the advantages of our approach with Monte Carlo analysis, as well as with several empirical examples from IR literature.</p>
dc.description.comments <p>This is a manuscript of an article from Political Science Research and Methods 4 (2016): 123, doi:<a href="http://dx.doi.org/10.1017/psrm.2015.34" target="_blank">10.1017/psrm.2015.34</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/pols_pubs/32/
dc.identifier.articleid 1033
dc.identifier.contextkey 8803217
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath pols_pubs/32
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/57844
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/pols_pubs/32/2016_Chyzh_AddressingEndogeneity.pdf|||Fri Jan 14 23:34:06 UTC 2022
dc.source.uri 10.1017/psrm.2015.34
dc.subject.disciplines International Relations
dc.subject.disciplines Models and Methods
dc.subject.disciplines Other Statistics and Probability
dc.subject.disciplines Statistical Models
dc.title Addressing Endogeneity in Actor-Speci fi c Network Measures
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 28ea2f1f-8c1e-4a0a-a2e2-a41d9c027840
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relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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