Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/17244
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dc.contributor.authorKalb, G-
dc.contributor.authorCai, L-
dc.date.accessioned2019-04-13T03:33:36Zen
dc.date.accessioned2011-05-17T03:56:55Zen
dc.date.available2011-05-17T03:56:55Zen
dc.date.issued2005-07-
dc.identifier.isbnISSN 1328-4991 (Print) ISSN 1447-5863 (Online) ISBN 0 7340 3186 6en
dc.identifier.urihttps://hdl.handle.net/10620/17244en
dc.identifier.urihttp://hdl.handle.net/10620/3376en
dc.description.abstractThe trend of declining labour force participation by older working-age men, combined with an ageing population, has led many industrialised nations to develop policies encouraging older male workers to remain in the labour force. A better understanding of how an individual’s health influences the labour force participation decision among this group of workers would facilitate the development of effective policies. The current research uses the Household, Income and Labour Dynamics in Australia (HILDA) survey to investigate the issue. The longitudinal nature of the three-wave HILDA data, which are currently available, allows for a better control for unobserved heterogeneity than was possible with earlier data. Therefore, more efficient estimates of the direct health effects on labour force participation can be obtained than in a cross-sectional analysis. Unobserved factors are likely to affect both health and labour force status, therefore we estimate a model that takes the correlation between the two error terms in the health and labour force status equations into account. The results show that controlling for unobserved heterogeneity and the correlation between the two equations is important. That is, the estimated variances of the unobserved heterogeneity terms are significantly different from zero in both equations and the two error terms are correlated. Any restriction on the correlation between the two equations appears to lead to underestimation of the direct health effects.en
dc.subject.classificationGender -- Maleen
dc.subject.classificationGenderen
dc.subject.classificationEmploymenten
dc.subject.classificationEmployment -- Labour force status and attachmenten
dc.subject.classificationHealthen
dc.titleHealth Status and Labour Force Status of Older Working-Age Australian Menen
dc.typeReports and technical papersen
dc.identifier.urlhttps://melbourneinstitute.unimelb.edu.au/publications/working-papers/search/result?paper=2156169en
dc.identifier.surveyHILDAen
dc.description.urlhttp://www.melbourneinstitute.com/hildaen
dc.description.institutionMelbourne Institute of Applied Economic and Social Researchen
dc.title.reportMelbourne Institute of Applied Economic and Social Research Working Paper Seriesen
dc.identifier.rishttp://flosse.dss.gov.au//ris.php?id=3637en
dc.description.pages41en
dc.title.seriesMelbourne Institute Working Papersen
local.identifier.id3637en
dc.identifier.edition9/05en
dc.identifier.edition9-Mayen
dc.description.additionalinfoPaper No. 09/05en
dc.subject.dssHealth and wellbeingen
dc.subject.dssLabour marketen
dc.subject.flosseHealthen
dc.subject.flosseEmployment and unemploymenten
dc.relation.surveyHILDAen
dc.old.surveyvalueHILDAen
item.openairetypeReports and technical papers-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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