Australian coder workforce survey 2002 - managers’ responses

In 1994–5, the Health Information Management Association of Australia (HIMAA) Ltd conducted a nation-wide survey of clinical coders working in Australian hospitals. The survey (National Coder Workforce Issues Project (NCWIP) funded by the then Commonwealth Department of Human Services and Health) provided baseline data about the coder workforce in terms of its size, the educational backgrounds of coders, circumstances relating to their employment and their needs in terms of continuing support and training. Importantly, the survey was conducted before casemix-based classification and funding had been implemented by all states and territories. It has now been nearly eight years since the original survey was conducted and casemix is in use in some form in all states and territories

Order and timing of home ownership and fertility decisions in Australia

The birth of a child and transition into home ownership are markers of progression along a life course. Research shows that pathways to home ownership have become more diverse and deviate from the traditional pathway which was characterised by marriage followed by the birth of a child before entering home ownership. This study investigates the timing and order of the two interrelated events of birth of a child and the transition to home ownership in Australia. Using the Household, Income and Labour Dynamics in Australia panel survey, we apply a multi-process event history analysis for describing the timing of each event following the formation of a cohabiting relationship. The results suggest that the likelihood of birth increases with prior home ownership attainment but as time passes following the purchase of a home, the likelihood of birth decreases, similarly, the likelihood of home ownership attainment decreased with time following birth

Relationship separation and length of time in receipt of income support payments: a longitudinal analysis of Australian Government administrative data

In recent years, the Australian government has encouraged open access to administrative data, providing new opportunities to examine life course pathways and evaluate social policies, particularly those aimed at supporting minority populations such as single parent families. Expenditure on government income support in Australia is expected to rise, largely due to increasing costs associated with an ageing population and the introduction of a national disability insurance scheme, raising concerns about the long-term fiscal viability of government spending on welfare. This paper investigates the association between income support receipt and relationship breakdown using two potential sources of national data: administrative data on income support payments and the Households, Income and Labour Dynamics in Australia panel survey. A comparative approach showed that the administrative data provided much greater statistical power for detecting associations for minority groups than was possible with panel data highlighting the importance of administrative data for understanding the outcomes of such groups

Post-school transitions for children in out-of-home care: Evidence from the Australian Census Longitudinal Dataset

[While many children living in out-of-home care aspire to complete higher education, research from the Australian Census Longitudinal Dataset suggests that very few are likely to achieve this goal compared to children living at home. These findings suggest (1) children from out-of-home care residing with a carer (i.e. children in foster care) are one-third as likely than their peers to progress to higher education, (2) transitioning to university is associated with parental education and employment, however, children from foster care are less likely to be living in homes with characteristics associated with transitioning to university, (3) post-school education for foster care children may be improved by placement with parents who have achieved a Year 12 equivalent or higher education status

Methods for Categorical Longitudinal Survey Data: Understanding Employment Status of Australian Women

Many variables that are of interest in social science research are nominal variables with two or more categories, such as employment status, occupation, political preference, or self-reported health status. With longitudinal survey data it is possible to analyse the transitions of individuals between different employment states or occupations (for example). In the statistical literature, models for analysing categorical dependent variables with repeated observations belong to the family of models known as generalized linear mixed models (GLMMs). The specific GLMM for a dependent variable with three or more categories is the multinomial logit random effects model. For these models, the marginal distribution of the response does not have a closed form solution and hence numerical integration must be used to obtain maximum likelihood estimates for the model parameters. Techniques for implementing the numerical integration are available but are computationally intensive requiring a large amount of computer processing time that increases with the number of clusters (or individuals) in the data and are not always readily accessible to the practitioner in standard software. For the purposes of analysing categorical response data from a longitudinal social survey, there is clearly a need to evaluate the existing procedures for estimating multinomial logit random effects model in terms of accuracy, efficiency and computing time. The computational time will have significant implications as to the preferred approach by researchers. In this paper we evaluate statistical software procedures that utilise adaptive Gaussian quadrature and MCMC methods, with specific application to modeling employment status of women using a GLMM, over three waves of the HILDA survey

Holistic housing pathways for Australian families through the childbearing years

For the previous generation, the typical housing tenure pathway in Australia was more clearly defined, with young adults leaving the family home to marry and experience the birth of the first child while residing in a rental home, before entry into home ownership. For the first time in Australia, longitudinal data is available that allows the examination of housing tenure transitions along with other life events, in particular the birth of children, marital transitions and changes in employment. Sequences of tenure transitions and life events were derived for a large sample of individuals using ten waves of data (2001-2010) from the longitudinal Household Income and Labour Dynamics in Australia (HILDA) survey, with a focus on families with children or of childbearing age. The statistical method of multi-channel sequence analysis was used to identify a typology of housing pathways from these data sequences. Half of all individuals in the sample do not experience any transitions in housing tenure status during the period of the survey and these people record notably fewer transitions in marital status. The main typologies identified were related to transitioning into home ownership, with the birth of a child occurring either before or after the transition. Previously, some individuals also entered home ownership before the birth of their first child rather than after, but it was not acknowledged as a major housing pathway as it is now. In this study, the majority of housing tenure and life event sequences showed that individuals were already married by the time of transitioning into home ownership. Pathways are now more diverse with transitions into home ownership often occurring both before and after the birth of a child, with marriage preceding the decision to buy a home