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Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/17201
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dc.contributor.authorScutella, Ren
dc.contributor.authorKostenko, Wen
dc.contributor.authorWilkins, Ren
dc.date.accessioned2019-04-13T03:33:16Zen
dc.date.accessioned2011-05-12T01:08:38Zen
dc.date.available2011-05-12T01:08:38Zen
dc.date.issued2009-12en
dc.identifier.isbnISSN 1328-4991 (Print) ISSN 1447-5863 (Online) ISBN 978-0-7340-3321-5en
dc.identifier.urihttps://hdl.handle.net/10620/17201en
dc.identifier.urihttp://hdl.handle.net/10620/3279en
dc.description.abstractWe measure the extent of poverty and social exclusion in Australia using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. For each individual, we construct a measure of social exclusion that recognises its multidimensionality, including its potential variability in depth at a point in time and in persistence over time. We distinguish seven dimensions or domains, as proposed in Scutella et al. (2009): material resources; employment; education and skills; health and disability; social; community; and personal safety. For each of these seven domains, several indicators of social exclusion are produced. A simple ‘sum-score’ method is then used to estimate the extent or depth of exclusion, with our measure a function of both the number of domains in which exclusion is experienced and the number of indicators of exclusion present within each domain. Sensitivity of findings to alternative weighting regimes for the indicators and to alternative methods, proposed by Capellari and Jenkins (2007), is examined. Persistence of exclusion is also briefly considered. Our exclusion measure identifies 20 to 30 per cent of the Australian population aged 15 years and over as experiencing ‘marginal exclusion’ at any given point in time. Four to six per cent are ‘deeply excluded’, and less than one per cent are ‘very deeply excluded’. We find that,although there are commonalities in the demographic composition of the socially excluded and the income poor, there are also some important differences. For example, persons 65 years and over represent a much smaller share of the most ‘excluded’ group than they do of the ‘poorest’; and couple and single families with children represent a larger share of the excluded than they do of the poor.en
dc.subject.classificationFinance -- Poverty and disadvantageen
dc.subject.classificationFinanceen
dc.subject.classificationDisadvantageen
dc.subject.classificationDisadvantage -- Exclusionen
dc.titleEstimates of Poverty and Social Exclusion in Australia: A Multidimensional Approachen
dc.typeReports and technical papersen
dc.identifier.urlhttps://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/old-wp/2009/wp2009n26.pdfen
dc.identifier.surveyHILDAen
dc.description.urlhttps://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/old-wp/2009/wp2009n26.pdfen
dc.description.institutionMelbourne Institute of Applied Economic and Social Researchen
dc.title.reportMelbourne Institute of Applied Economic and Social Research Working Paperen
dc.identifier.rishttp://flosse.dss.gov.au//ris.php?id=3540en
dc.description.pages68en
local.identifier.id3540en
dc.identifier.edition26/09en
dc.identifier.edition26-Sepen
dc.subject.dssIncome, wealth and financesen
dc.subject.flosseIncome, wealth and financesen
dc.relation.surveyHILDAen
dc.old.surveyvalueHILDAen
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeReports and technical papers-
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