Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemThe limitations of employment as a tool for social inclusion(BMC, 2010-10-19)BACKGROUND: One important component of social inclusion is the improvement of well-being through encouraging participation in employment and work life. However, the ways that employment contributes to wellbeing are complex. This study investigates how poor health status might act as a barrier to gaining good quality work, and how good quality work is an important pre-requisite for positive health outcomes. METHODS: This study uses data from the PATH Through Life Project, analysing baseline and follow-up data on employment status, psychosocial job quality, and mental and physical health status from 4261 people in the Canberra and Queanbeyan region of south-eastern Australia. Longitudinal analyses conducted across the two time points investigated patterns of change in employment circumstances and associated changes in physical and mental health status. RESULTS: Those who were unemployed and those in poor quality jobs (characterised by insecurity, low marketability and job strain) were more likely to remain in these circumstances than to move to better working conditions. Poor quality jobs were associated with poorer physical and mental health status than better quality work, with the health of those in the poorest quality jobs comparable to that of the unemployed. For those who were unemployed at baseline, pre-existing health status predicted employment transition. Those respondents who moved from unemployment into poor quality work experienced an increase in depressive symptoms compared to those who moved into good quality work. CONCLUSIONS: This evidence underlines the difficulty of moving from unemployment into good quality work and highlights the need for social inclusion policies to consider people's pre-existing health conditions and promote job quality.
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ItemIncidence of self-reported brain injury and the relationship with substance abuse: findings from a longitudinal community survey(BMC, 2010-03-29)BACKGROUND: Traumatic or serious brain injury (BI) has persistent and well documented adverse outcomes, yet 'mild' or 'moderate' BI, which often does not result in hospital treatment, accounts for half the total days of disability attributed to BI. There are currently few data available from community samples on the incidence and correlates of these injuries. Therefore, the study aimed to assess the 1) incidence of self-reported mild (not requiring hospital admission) and moderate (admitted to hospital)) brain injury (BI), 2) causes of injury 3) physical health scores and 4) relationship between BI and problematic alcohol or marijuana use. METHODS: An Australian community sequential-cohort study (cohorts aged 20-24, 40-44 and 60-64 years at wave one) used a survey methodology to assess BI and substance use at baseline and four years later. RESULTS: Of the 7485 wave one participants, 89.7% were re-interviewed at wave two. There were 56 mild (230.8/100000 person-years) and 44 moderate BI (180.5/100000 person-years) reported between waves one and two. Males and those in the 20-24 year cohort had increased risk of BI. Sports injury was the most frequent cause of BI (40/100) with traffic accidents being a greater proportion of moderate (27%) than mild (7%) BI. Neither alcohol nor marijuana problems at wave one were predictors of BI. BI was not a predictor of developing substance use problems by wave two. CONCLUSIONS: BI were prevalent in this community sample, though the incidence declined with age. Factors associated with BI in community samples differ from those reported in clinical samples (e.g. typically traumatic brain injury with traffic accidents the predominate cause). Further, detailed evaluation of the health consequences of these injuries is warranted.
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ItemA comparison of family policy designs of Australia and Norway using microsimulation models(Kluwer Academic Publishers, 2010)Many of the Australian family support schemes are income-tested transfers, targeted towards the lower end of the income distribution, whereas the Norwegian approach is to provide subsidized non-parental care services and universal family payments. We contrast these two types of policies and discuss policy changes within these policy types by presenting results from simulations, using microsimulation models developed for Australia and Norway. Labor supply effects and distributional effects are discussed for the hypothetical policy changes of replacing the means-tested family payments of Australia by the Norwegian universal child benefit schedule and vice versa, and of reducing the childcare fees in both countries. The analysis highlights that the case for policy changes is restricted by the economic environment and the role of family policy in the two countries. Whereas there is considerable potential for increased labor supply of Australian mothers, it may have detrimental distributional effects and is likely to be costly. In Norway, mothers already have high labor supply and any adverse distributional effects of further labor supply incentives occur in an economy with low initial income dispersion. However, expenditure on family support is already high and the question is whether this should be further extended. © 2009 Springer Science+Business Media, LLC.
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ItemProfessional satisfaction in general practice: does it vary by size of community?(WILEY, 2010-07-19)OBJECTIVE: To investigate whether the level of professional satisfaction of Australian general practitioners varies according to community size and location. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional, population-level national survey using results for a cohort of 3906 GPs (36% were "rural" participants) from the first wave of a longitudinal study of the Australian medical workforce, conducted between June and November 2008. Geographical differences in levels of professional satisfaction were examined using five community size categories: metropolitan, > or = 1 million residents; regional centre, 50,000-999,999; medium-large rural, 10,000-49,999; small rural, 2500-9999; and very small rural, < 2500. MAIN OUTCOME MEASURES: Level of professional satisfaction expressed by GPs working in different sized communities with respect to various job aspects. RESULTS: Professional satisfaction of GPs did not differ by community size for most aspects of the job. Overall satisfaction was high, at about 85% across all community sizes. Satisfaction with remuneration was slightly higher in smaller rural towns, even though the hours worked there were less predictable. Professional satisfaction with freedom of choosing work method, variety of work, working conditions, opportunities to use abilities, amount of responsibility, and colleagues was very high across all community sizes, while difficulties with arranging locums and the stress of running the practice were commonly reported by GPs in all community sizes. CONCLUSIONS: GPs working in different sized communities in Australia express similar levels of satisfaction with most professional aspects of their work.
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ItemThe "Medicine in Australia: Balancing Employment and Life (MABEL)" longitudinal survey - Protocol and baseline data for a prospective cohort study of Australian doctors' workforce participation(BIOMED CENTRAL LTD, 2010-02-25)BACKGROUND: While there is considerable research on medical workforce supply trends, there is little research examining the determinants of labour supply decisions for the medical workforce. The "Medicine in Australia: Balancing Employment and Life (MABEL)" study investigates workforce participation patterns and their determinants using a longitudinal survey of Australian doctors. It aims to generate evidence to support developing effective policy responses to workforce issues such as shortages and maldistribution. This paper describes the study protocol and baseline cohort, including an analysis of response rates and response bias. METHODS/DESIGN: MABEL is a prospective cohort study. All Australian doctors undertaking clinical work in 2008 (n = 54,750) were invited to participate, and annual waves of data collections will be undertaken until at least 2011. Data are collected by paper or optional online version of a questionnaire, with content tailored to four sub-groups of clinicians: general practitioners, specialists, specialists in training, and hospital non-specialists. In the baseline wave, data were collected on: job satisfaction, attitudes to work and intentions to quit or change hours worked; a discrete choice experiment examining preferences and trade-offs for different types of jobs; work setting; workload; finances; geographic location; demographics; and family circumstances. DISCUSSION: The baseline cohort includes 10,498 Australian doctors, representing an overall response rate of 19.36%. This includes 3,906 general practitioners, 4,596 specialists, 1,072 specialists in training, and 924 hospital non-specialists. Respondents were more likely to be younger, female, and to come from non-metropolitan areas, the latter partly reflecting the effect of a financial incentive on response for doctors in remote and rural areas. Specialists and specialists in training were more likely to respond, whilst hospital non-specialists were less likely to respond. The distribution of hours worked was similar between respondents and data from national medical labour force statistics. The MABEL survey provides a large, representative cohort of Australian doctors. It enables investigation of the determinants of doctors' decisions about how much, where and in what circumstances they practice, and of changes in these over time. MABEL is intended to provide an important resource for policy makers and other stakeholders in the Australian medical workforce.
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ItemWork Hours Mismatch in the United States and Australia(Cornell University Press, 2010)
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ItemDisadvantage across the Generations: What Do We Know about Social and Economic Mobility in Australia?*(WILEY-BLACKWELL PUBLISHING, INC, 2010-09-01)
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ItemOccupational Segregation and the Gender Wage Gap in Private- and Public-Sector Employment: A Distributional Analysis*(WILEY-BLACKWELL, 2010-06-01)
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ItemLow-Paid Employment and Unemployment Dynamics in Australia(WILEY, 2010-03-01)