A Computational Approach to Measuring Vote Elasticity and Competitiveness
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Item URL
http://data.d4science.org/ctlg/RISIS2OpenData/dedup_wf_001--b66a1e7a9f79bb63cdc579f6e7f78bee |
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Identity
Access Modality
Field | Value |
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Access Right | Open Access |
Attribution
Field | Value |
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Author | Daryl DeFord |
Author | Moon Duchin |
Author | Justin Solomon |
Publishing
Field | Value |
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Collected From | arXiv.org e-Print Archive; DOAJ-Articles; Crossref; Microsoft Academic Graph |
Hosted By | arXiv.org e-Print Archive; Statistics and Public Policy |
Journal | Statistics and Public Policy, , |
Publication Date | 2020-05-26 |
Publisher | Taylor & Francis Group |
Additional Info
Field | Value |
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Description | Comment: 38 pages, 8 figures, 5 tables |
Language | English |
Resource Type | Article; Preprint |
keyword | 05C90, 60J20, 62P25, 91F10 |
system:type | publication |
Management Info
Field | Value |
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Source | https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::b66a1e7a9f79bb63cdc579f6e7f78bee |
Author | jsonws_user |
Last Updated | 23 December 2020, 13:31 (CET) |
Created | 23 December 2020, 13:31 (CET) |