AbstractThis study uses data from the 1999 to 2009 Graduate Destination Surveys to investigate the absorption of recent university graduates into the Australian labour market. The results indicate that graduates of the Group of Eight and Australian Technology Network are less likely than graduates of other universities to be employed in jobs that do not require their qualification. No university group, however, has a clear advantage in protecting its graduates from the adverse earnings consequences associated with working in such jobs. Field of study plays an important role in determining both whether graduates work in occupations that require their qualification and earnings.
AbstractThis paper presents new information about the post‐graduation activities of those with a PhD in economics and finance from an Australian university. Approximately 40 per cent have an academic job, while the other 60 per cent work elsewhere or engage in other activities. The analysis includes origin‒destination networks for both the academic and non‐academic markets, the determinants of earnings and measures of overqualification and underemployment. The findings of the paper can provide guidance for those completing or contemplating PhD studies.
Background: It is not well understood what occupations public health graduates have after graduation, nor is it well known whether their education provides them with the relevant knowledge and skills to feel well matched to their occupations. Furthermore, it is commonly presumed that public health graduates work in government, and investments in education would bolster this workforce. Methods: We aimed to describe the common occupations of Australian public health graduates, describe the heterogeneity of graduate destinations, describe the level of mismatch that graduates report, and compare these results with other fields of study. We used eight years of Australian graduate survey data (2008–2015) from the Graduate Destinations Survey, examining outcomes data from 8900 public health graduates from four levels of education. We compared occupation and industry heterogeneity, and level of occupational mismatch between public health graduates, and graduates from other fields of education. Results: Public health graduates report having a broad set of occupations in a broad set of industries after graduation, and this breadth is dissimilar to most health degrees. Furthermore, public health graduates tend to have average or lower-than-average rates of mismatch. Conclusions: Despite going into a broad set of occupations and industries, graduates from public health tend to report being well prepared given their education. Given that both occupation and industry outcomes are heterogeneous for graduates, an investment in public health education does not guarantee an increase in the governmental public health workforce.
AbstractObjectiveTo estimate the prevalence of hand-arm vibration (HAV) in Australian workplaces.MethodsThe Australian Workplace Exposure Survey (AWES)—Hearing was a cross-sectional telephone survey of Australian workers conducted in 2016–2017. Respondents were asked about the time spent using tools or performing tasks known to be associated with HAV during their most recent working day. We created a library of HAV magnitude levels for each tool/task and estimated each worker's daily HAV exposure level using standard formulae. We categorized each worker as to whether they exceeded the daily occupational limits of 2.5 and 5.0 m/s2. Results were extrapolated to the Australian working population using a raked weighting method.ResultsIn our sample of 4991 workers, 5.4% of men and 0.7% of women exceeded the HAV action limit of 2.5 m/s2 on their most recent working day. We estimate that 3.8% of the Australian workforce exceeds the HAV limit of 2.5 m/s2 and 0.8% exceeds the 5 m/s2 limit. Men were more likely to exceed the HAV limits than women, as were those with trade qualifications, and those who worked in remote locations. Workers in the construction, farming, and automobile industries had the highest prevalence of HAV exposure. Tool groups that contributed to higher exposure levels included: compactors, rollers, and tampers; power hammers and jackhammers; and underground mining equipment.ConclusionsHAV is common in the Australian working population. Given the health risks associated with this exposure, reduction strategies and interventions should be developed, with engineering controls as the starting point for exposure reduction strategies.
