Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37963
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dc.contributor.authorMatthews, Benen_UK
dc.contributor.authorMcVie, Susanen_UK
dc.contributor.authorNorris, Paulen_UK
dc.date.accessioned2026-04-11T00:18:23Z-
dc.date.available2026-04-11T00:18:23Z-
dc.date.issued2026-03-17en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37963-
dc.description.abstractUnderstanding victimization inequality is crucial to addressing questions of fairness and justice in exposure to crime. A growing body of research has considered how the global crime drop has affected the distribution of victimization. These studies primarily aim to understand whether different social groups have benefitted equally from overall reductions in rates of victimization; however, much of the existing research is limited by three key methodological shortcomings. Firstly, studies often compare only two discrete points in time, rather than describing dynamic changes in victimization. Secondly, researchers typically focus on either ‘unadjusted’ estimates of victimization (which measure differences between groups without taking account of any other characteristics) or ‘adjusted’ estimates (which take account of additional characteristics), but rarely both, giving only a partial picture. Finally, few studies of victimization inequality account for uncertainty in the victimization estimates which are inherent in analyses of crime survey data. This paper addresses these shortcomings by applying a robust, simulation-based approach to estimating and visualizing temporal change in both unadjusted and adjusted indicators of victimization inequality using ten sweeps of data from the Scottish Crime and Justice Survey between 2008/2009 and 2021/2022. Our analysis focuses on nine socio-demographic variables which include individual, household and community characteristics. While the results show reductions in victimization rates within all groups studied, there was clear evidence of victimization inequality between groups. Moreover, the extent of victimization inequality and how it changed over time varied considerably depending on whether adjusted or unadjusted estimates were used. Overall, rising victimization inequality was most strongly associated with ethnicity, disability and financial hardship. We argue that our methodological approach provides a more nuanced and informative perspective on stability and change in victimization inequality than previously considered, which has important implications for both criminological theory and policy development.en_UK
dc.language.isoenen_UK
dc.publisherSAGE Publicationsen_UK
dc.relationMatthews B, McVie S & Norris P (2026) Who benefited most from the crime drop? Measuring stability and change in victimization inequality across different socio-demographic groups. <i>European Journal of Criminology</i>. https://doi.org/10.1177/1477370826142768en_UK
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pageen_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectInequalityen_UK
dc.subjectregressionen_UK
dc.subjectScotlanden_UK
dc.subjectsimulationen_UK
dc.subjectsurveyen_UK
dc.subjectvictimizationen_UK
dc.titleWho benefited most from the crime drop? Measuring stability and change in victimization inequality across different socio-demographic groupsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1177/1477370826142768en_UK
dc.citation.jtitleEuropean Journal of Criminologyen_UK
dc.citation.issn1741-2609en_UK
dc.citation.issn1477-3708en_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderUK Research and Innovationen_UK
dc.author.emailben.matthews@stir.ac.uken_UK
dc.citation.date17/03/2026en_UK
dc.contributor.affiliationSociology, Social Policy & Criminologyen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.identifier.wtid2232416en_UK
dc.contributor.orcid0000-0002-5234-8792en_UK
dc.date.accepted2026-01-20en_UK
dcterms.dateAccepted2026-01-20en_UK
dc.date.filedepositdate2026-01-30en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMatthews, Ben|0000-0002-5234-8792en_UK
local.rioxx.authorMcVie, Susan|en_UK
local.rioxx.authorNorris, Paul|en_UK
local.rioxx.projectProject ID unknown|UK Research and Innovation|http://dx.doi.org/10.13039/100014013en_UK
local.rioxx.freetoreaddate2026-03-23en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2026-03-23|en_UK
local.rioxx.filenamematthews-et-al-2026-who-benefited-most-from-the-crime-drop-measuring-stability-and-change-in-victimization-inequality.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1741-2609en_UK
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