Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/17274
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLiu, A-
dc.contributor.authorCai, L-
dc.date.accessioned2019-04-13T03:33:51Zen
dc.date.accessioned2011-05-12T01:10:48Zen
dc.date.available2011-05-12T01:10:48Zen
dc.date.issued2008-06-
dc.identifier.isbnISSN: 1442-8636 ISBN: 978 1 921262 54 8en
dc.identifier.urihttps://hdl.handle.net/10620/17274en
dc.identifier.urihttp://hdl.handle.net/10620/3293en
dc.description.abstractPrevious research on public-private wage differentials in Australia is scarce and has focused on the central parts of the conditional wage distribution. Using the first six waves of the Household, Income and Labour Dynamics in Australia (HILDA) survey, this study applies quantile regression models to examine whether the sectoral wage effect varies along the wage distribution. For females, we find public sector wage premiums for almost the entire wage distribution and the premiums are relatively stable except at the extremities of the distribution. For males, the premiums decrease monotonically and are negative for the top half of the conditional wage distribution. The decomposition results show that the observed differences in individuals and job characteristics account for a substantial proportion of the overall sectoral wage gap.en
dc.subject.classificationFinance -- Income (Salary and Wages)en
dc.subject.classificationEmployment -- Labour Marketsen
dc.subject.classificationEmploymenten
dc.subject.classificationFinanceen
dc.titlePublic-Private Wage gap in Australia: Variation Along the Distributionen
dc.typeReports and technical papersen
dc.identifier.urlhttps://ideas.repec.org/p/auu/dpaper/581.htmlen
dc.identifier.surveyHILDAen
dc.description.urlhttp://www.melbourneinstitute.com/hildaen
dc.description.institutionCentre for Economic Policy Research, the Australian National Universityen
dc.title.reportCentre for Economic Policy Research, the Australian National University, Discussion Paper .en
dc.identifier.rishttp://flosse.dss.gov.au//ris.php?id=3551en
dc.description.keywordswage gapen
dc.description.keywordsdecompositionen
dc.description.keywordsquantile regressionen
dc.description.pages29en
dc.title.seriesCEPR Discussion Papersen
local.identifier.id3551en
dc.identifier.edition581en
dc.description.additionalinfoPaper 581en
dc.subject.dssLabour marketen
dc.subject.dssLearning, education and trainingen
dc.subject.flosseLearning, education and trainingen
dc.subject.flosseEmployment and unemploymenten
dc.relation.surveyHILDAen
dc.old.surveyvalueHILDAen
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeReports and technical papers-
item.cerifentitytypePublications-
Appears in Collections:Reports
Show simple item record

Page view(s)

1,908
checked on Mar 28, 2024
Google icon

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.