Modeling Structural Selection in Disaggregated Event Data

dc.contributor.author Chyzh, Olga
dc.contributor.author Gibler, Douglas
dc.contributor.author Nieman, Mark
dc.contributor.department Statistics
dc.date 2018-10-11T15:07:58.000
dc.date.accessioned 2020-07-02T06:56:01Z
dc.date.available 2020-07-02T06:56:01Z
dc.date.issued 2018-01-01
dc.description.abstract <p>Growing availability of disaggregated data, such as data on activity of subnational groups (e.g. protest campaigns, insurgents, terrorist groups, political parties or movements), has raised new types of theoretical and statistical challenges. In particular, rather than random, the observability and availability of disaggregated data are often a function of specific structural processes—an issue we refer to as structural selection. For example, domestic terrorist attacks or protester violence are conditional on the formation of domestic terrorist groups or protester movements in the first place. As a result, analytical inferences derived from subnational or other types of disaggregated data may suffer from structural selection bias, which is a type of sample selection bias. We propose a simple and elegant statistical approach to ameliorate such bias and demonstrate the advantages of this approach using a Monte Carlo example. We further illustrate the importance of accounting for structural processes by replicating three prominent empirical studies of government–opposition behavior and find that structural selection affects many of the inferences drawn from the observable data.</p>
dc.description.comments <p>This is a pre-print is from Chyzh, O.V., Nieman, M.D., Gibler, D.M. Modeling Structural Selection in Disaggregated Event Data. </p>
dc.identifier archive/lib.dr.iastate.edu/stat_las_preprints/140/
dc.identifier.articleid 1139
dc.identifier.contextkey 13063611
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/140
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90302
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/140/2018_GSalert_ChyzhO_Modeling_Structural_Selection_in_Disaggregated_Event.pdf|||Fri Jan 14 20:11:55 UTC 2022
dc.subject.disciplines Comparative Politics
dc.subject.disciplines Critical and Cultural Studies
dc.subject.disciplines Mass Communication
dc.subject.disciplines Models and Methods
dc.subject.disciplines Political History
dc.subject.disciplines Political Science
dc.subject.disciplines Strategic Management Policy
dc.title Modeling Structural Selection in Disaggregated Event Data
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 28ea2f1f-8c1e-4a0a-a2e2-a41d9c027840
relation.isAuthorOfPublication 1282f986-bb0c-4f91-8bfa-2a3113a38be8
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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