期刊名称：International Journal of Population Data Science
电子版ISSN：2399-4908
出版年度：2019
卷号：4
期号：3
页码：1-1
DOI：10.23889/ijpds.v4i3.1163
出版社：Swansea University
摘要：Background with rationale Australians who are Not in Employment, Education or Training (NEET) and receive income support span a wide spectrum of working ages. Australian research has concentrated on NEETs aged 15–29 years, in line with international standards. This paper investigates extending the NEET concept to include all working age persons 15–64 years and the value added to welfare policy through analysis of a new linked dataset.
其他摘要：Background with rationaleAustralians who are Not in Employment, Education or Training (NEET) and receive income support span a wide spectrum of working ages. Australian research has concentrated on NEETs aged 15–29 years, in line with international standards. This paper investigates extending the NEET concept to include all working age persons 15–64 years and the value added to welfare policy through analysis of a new linked dataset. Main AimTo determine whether the NEET concept is policy relevant when applied to all working ages. Methods/ApproachIndividuals aged 15-64 years recorded as receiving Department of Social Services (DSS) income support payments from September 2011 were linked with Australian Bureau of Statistics (ABS) Census data from August 2011 to create a linked dataset for analysis. Descriptive analyses were undertaken of NEET status by Census socio-demographic characteristics, and we modelled the adjusted likelihood of NEET status by Census demographics. ResultsSome 1.37 million or 45.2% of linked DSS payment recipients qualified as NEET. Of NEETs, more than twice as many were female, nearly half were aged 45–64 years, and under 1-in-5 were aged 15–29 years. Multivariate analyses showed that NEETs were more likely to be older, have low educational attainment, have a disability, and to be Indigenous. ConclusionYoung NEETs aged 15–29 years represented less than 20 per cent of linked DSS payment recipients classified as NEET, suggesting that standard NEETs reporting neglects information on around 80 per cent of the working age NEET population in Australia. Combined with other demographic insights, these results have implications for welfare policy, and indicate a wider range of demographics should be considered under the NEET classification. This may also have implications for OECD reporting.
