dc.contributor.author | Marquardt, Kyle L. | |
dc.date.accessioned | 2021-03-15T12:14:47Z | |
dc.date.available | 2021-03-15T12:14:47Z | |
dc.date.issued | 2021-03 | |
dc.identifier.uri | http://hdl.handle.net/2077/68049 | |
dc.description.abstract | Quantitative scholarship on civil conflict still largely relies upon the ethnic group as the foundation for measures of politically-relevant diversity and, in particular, identity-based political inclusion. However, ethnicity remains notoriously difficult to measure: even cutting-edge analyses are subject to the issues of intra- and inter-ethnic variation in identity salience that plagued earlier work. Here I propose a new way to measure identity-based exclusion. Specifically, I use latent variable models to combine data from both the Ethnic Power Relations Project, which uses the demographic size of politically-relevant ethnic groups to operationalize inclusion; and the Varieties of Democracy Project, which measures overall identity-based inclusion without directly accounting for demographic group size. The latent variable models combine insights from both measurement ap-proaches, ameliorating concerns about using either strategy in isolation. In addition to providing cross-nationally cohesive data on identity-based exclusion for future work, these models provide a framework for scholars to build their own theoretically-driven models of politically-relevant diversity and inclusion. | sv |
dc.description.sponsorship | I prepared the article within the framework of the HSE University Basic Research Program, with funding from the Russian Academic Excellence Project ‘5-100.’ The work was also supported by the National Science Foundation (SES-1423944), Riksbankens Jubileumsfond (M13-0559:1), the Swedish Research Council (2013.0166), the Knut and Alice Wallenberg Foundation, and the University of Gothenburg (E 2013/43). I performed simulations using resources provided by the High Performance Computing section and the Swedish National Infrastructure for Computing at the National Supercomputer Centre in Sweden (SNIC 2017/1-406 and 2018/3-543). | sv |
dc.language.iso | eng | sv |
dc.relation.ispartofseries | Working Papers | sv |
dc.relation.ispartofseries | 2021:115 | sv |
dc.relation.uri | https://www.v-dem.net/media/filer_public/e5/9b/e59b929a-16aa-4380-ba91-117cad00309f/wp_115_final.pdf | sv |
dc.title | Measuring Politically-relevant Ientity, With and Without Groups | sv |
dc.type | Text | sv |
dc.contributor.organization | V-Dem Institute | sv |