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Measuring State and District Ideology with Spatial Realignment

Published online by Cambridge University Press:  15 April 2015

James E. Monogan III  and
Jeff Gill
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Abstract

We develop a new approach for modeling public sentiment by micro-level geographic region based on Bayesian hierarchical spatial modeling. Recent production of detailed geospatial political data means that modeling and measurement lag behind available information. The output of the models gives not only nuanced regional differences and relationships between states, but more robust state-level aggregations that update past research on measuring constituency opinion. We rely here on the spatial relationships among observations and units of measurement in order to extract measurements of ideology as geographically narrow as measured covariates. We present an application in which we measure state and district ideology in the United States in 2008.

Type
Original Articles
Information
Political Science Research and Methods , Volume 4 , Issue 1 , January 2016 , pp. 97 - 121
Copyright
© The European Political Science Association 2015 

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Footnotes

*

James E. Monogan III, Assistant Professor, Department of Political Science, University of Georgia, Athens, GA 30602 ([email protected]). Jeff Gill, Professor, Departments of Political Science, Biostatistics and Surgery, Washington University, One Brookings Drive, Seigle Hall, St. Louis, MO 63130-4899 ([email protected]). The authors thank Robert S. Erikson, Bradley P. Carlin, Guy D. Whitten, Stephen Ansolabehere, Robert J. Franzese, Jude Hays, Paulo J. Ribeiro Jr., and the anonymous reviewers for their helpful assistance. This study was supported in part by resources and technical expertise from the Georgia Advanced Computing Resource Center, a partnership between the University of Georgia’s Office of the Vice President for Research and Office of the Vice President for Information Technology. Questions may be directed to James Monogan as corresponding author. Complete replication information and our estimates of ideology in 2008 are available at our Dataverse page: http://hdl.handle.net/1902.1/22006. To view supplementary material for this article, please visit http://dx.doi.org/10.1017/psrm.2015.5

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