Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemNurses' labour supply elasticities: The importance of accounting for extensive margins(ELSEVIER SCIENCE BV, 2014-01)We estimate a multi-sector model of nursing qualification holders' labour supply in different occupations. A structural approach allows us to model the labour force participation decision, the occupational and shift-type choice, and the decision about hours worked as a joint outcome following from maximising a utility function. Disutility from work is allowed to vary by occupation and also by shift type in the utility function. Our results suggest that average wage elasticities might be higher than previous research has found. This is mainly due to the effect of wages on the decision to enter or exit the profession, which was not included in the previous literature, rather than from its effect on increased working hours for those who already work in the profession.
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ItemDo Financial Incentives Influence GPs' Decisions to Do After-hours Work? A Discrete Choice Labour Supply Model(WILEY, 2017-12)This paper analyses doctors' supply of after-hours care (AHC), and how it is affected by personal and family circumstances as well as the earnings structure. We use detailed survey data from a large sample of Australian General Practitioners (GPs) to estimate a structural, discrete choice model of labour supply and AHC. This allows us to jointly model GPs' decisions on the number of daytime-weekday working hours and the probability of providing AHC. We simulate GPs' labour supply responses to an increase in hourly earnings, both in a daytime-weekday setting and for AHC. GPs increase their daytime-weekday working hours if their hourly earnings in this setting increase, but only to a very small extent. GPs are somewhat more likely to provide AHC if their hourly earnings in that setting increase, but again, the effect is very small and only evident in some subgroups. Moreover, higher earnings in weekday-daytime practice reduce the probability of providing AHC, particularly for men. Increasing GPs' earnings appears to be at best relatively ineffective in encouraging increased provision of AHC and may even prove harmful if incentives are not well targeted.
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ItemMedicine in Australia: Balancing Employment and Life (MABEL)(WILEY-BLACKWELL, 2011-03)
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ItemHow do rural GPs' workloads and work activities differ with community size compared with metropolitan practice?(CSIRO PUBLISHING, 2012)Rural communities continue to experience shortages of doctors, placing increased work demands on the existing rural medical workforce. This paper investigates patterns of geographical variation in the workload and work activities of GPs by community size. Our data comes from wave 1 of the Medicine in Australia: Balancing Employment and Life longitudinal study, a national study of Australian doctors. Self-reported hours worked per usual week across eight workplace settings and on-call/ after-hours workload per usual week were analysed against seven community size categories. Our results showed that a GP's total hours worked per week consistently increases as community size decreases, ranging from 38.6 up to 45.6h in small communities, with most differences attributable to work activities of rural GPs in public hospitals. Higher on-call workload is also significantly associated with smaller rural communities, with the likelihood of GPs attending more than one callout per week ranging from 9% for metropolitan GPs up to 48-58% in small rural communities. Our study is the first to separate hours worked into different work activities whilst adjusting for community size and demographics, providing significantly greater insight to the increased hours worked, more diverse activities and significant after-hours demands experienced by current rural GPs.
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ItemThe supply of general practitioners across local areas: accounting for spatial heterogeneity(BIOMED CENTRAL LTD, 2015-10-03)BACKGROUND: The geographic distribution of general practitioners (GPs) remains persistently unequal in many countries despite notable increases in overall supply. This paper explores how the factors associated with the supply of general practitioners (GPs) are aligned with the arbitrary geographic boundaries imposed by the use of spatially referenced GP supply data. METHODS: Data on GP supply in postcodes within Australia are matched to data on the population characteristics and levels of amenities in postcodes. Tobit regression models are used that examine the associations between GP supply and postcode characteristics, whilst accounting for spatial heterogeneity. RESULTS: The results demonstrate that GPs do not consider space in a one-dimensional sense. Location choice is related to both neighbourhood-specific factors, such as hospitals, and broader area factors, such as area income and proximity to private schools. Although the proportion of females and elderly were related to GPs supply, mortality rate was not. CONCLUSIONS: This paper represents the first attempt to map the factors influencing GP supply to the appropriate geographic level at which GPs may be considering that factor. We suggest that both neighbourhood and broader regional characteristics can influence GPs' locational choices. This finding is highly relevant to the design and evaluation of relocation incentive programmes.
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ItemWho should receive recruitment and retention incentives? Improved targeting of rural doctors using medical workforce data(WILEY, 2012-02)OBJECTIVE: The objective of this study was to define an improved classification for allocating incentives to support the recruitment and retention of doctors in rural Australia. DESIGN AND SETTING: Geo-coded data (n = 3636 general practitioners (GPs)) from the national Medicine in Australia: Balancing Employment and Life study were used to examine statistical variation in four professional indicators (total hours worked, public hospital work, on call after-hours and difficulty taking time off) and two non-professional indicators (partner employment and schooling opportunities) which are all known to be related to difficulties with recruitment and retention. MAIN OUTCOME MEASURES: The main outcome measure used for the study was an association of six sentinel indicators for GPs with practice location and population size of community. RESULTS: Four distinct homogeneous population size groups were identified (0-5000, 5001-15,000, 15,001-50,000 and >50,000). Although geographical remoteness (measured using the Australian Standard Geographical Classification-Remoteness Areas (ASGC-RA)) was statistically associated with all six indicators (P < 0.001), population size provided a more sensitive measure in directing where recruitment and retention incentives should be provided. A new six-level rurality classification is proposed, based on a combination of four population size groups and the five ASGC-RA levels. A significant increase in statistical association is measured in four of six indicators (and a slight increase in one indicator) using the new six-level classification versus the existing ASGC-RA classification. CONCLUSIONS: This new six-level geographical classification provides a better basis for equitable resource allocation of recruitment and retention incentives to doctors based on the attractiveness of non-metropolitan communities, both professionally and non-professionally, as places to work and live.
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ItemNo Preview AvailableGetting doctors into the bush: General Practitioners' preferences for rural location(PERGAMON-ELSEVIER SCIENCE LTD, 2013-11)A key policy issue in many countries is the maldistribution of doctors across geographic areas, which has important effects on equity of access and health care costs. Many government programs and incentive schemes have been established to encourage doctors to practise in rural areas. However, there is little robust evidence of the effectiveness of such incentive schemes. The aim of this study is to examine the preferences of general practitioners (GPs) for rural location using a discrete choice experiment. This is used to estimate the probabilities of moving to a rural area, and the size of financial incentives GPs would require to move there. GPs were asked to choose between two job options or to stay at their current job as part of the Medicine in Australia: Balancing Employment and Life (MABEL) longitudinal survey of doctors. 3727 GPs completed the experiment. Sixty five per cent of GPs chose to stay where they were in all choices presented to them. Moving to an inland town with less than 5000 population and reasonable levels of other job characteristics would require incentives equivalent to 64% of current average annual personal earnings ($116,000). Moving to a town with a population between 5000 and 20,000 people would require incentives of at least 37% of current annual earnings, around $68,000. The size of incentives depends not only on the area but also on the characteristics of the job. The least attractive rural job package would require incentives of at least 130% of annual earnings, around $237,000. It is important to begin to tailor incentive packages to the characteristics of jobs and of rural areas.
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ItemWHAT FACTORS INFLUENCE THE EARNINGS OF GENERAL PRACTITIONERS AND MEDICAL SPECIALISTS? EVIDENCE FROM THE MEDICINE IN AUSTRALIA: BALANCING EMPLOYMENT AND LIFE SURVEY(WILEY-BLACKWELL, 2012-11)To date, there has been little data or empirical research on the determinants of doctors' earnings despite earnings having an important role in influencing the cost of health care, decisions on workforce participation and labour supply. This paper examines the determinants of annual earnings of general practitioners (GPs) and specialists using the first wave of the Medicine in Australia: Balancing Employment and Life, a new longitudinal survey of doctors. For both GPs and specialists, earnings are higher for men, for those who are self-employed and for those who do after-hours or on-call work. GPs have higher earnings if they work in larger practices, in outer regional or rural areas, and in areas with lower GP density, whereas specialists earn more if they have more working experience, spend more time in clinical work and have less complex patients. Decomposition analysis shows that the mean earnings of GPs are lower than that of specialists because GPs work fewer hours, are more likely to be female, are less likely to undertake after-hours or on-call work, and have lower returns to experience. Roughly 50% of the income gap between GPs and specialists is explained by differences in unobserved characteristics and returns to those characteristics.
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ItemAustralian doctors' satisfaction with their work: results from the MABEL longitudinal survey of doctors(WILEY, 2011-01-03)OBJECTIVE: To compare the level and determinants of job satisfaction between four groups of Australian doctors: general practitioners, specialists, specialists-in-training, and hospital non-specialists. DESIGN, PARTICIPANTS AND SETTING: National cross-sectional questionnaire survey as part of the baseline cohort of a longitudinal survey of Australian doctors in clinical practice (Medicine in Australia - Balancing Employment and Life [MABEL]), undertaken between June and November 2008, including 5193 Australian doctors (2223 GPs, 2011 specialists, 351 hospital non-specialists, and 608 specialists-in-training). MAIN OUTCOME MEASURES: Job satisfaction scores for each group of doctors; the association between job satisfaction and doctor, job and geographical characteristics. RESULTS: 85.7% of doctors were moderately or very satisfied with their jobs. There were no differences in job satisfaction between GPs, specialists and specialists-in-training. Hospital non-specialists were the least satisfied compared with GPs (odds ratio [OR], 0.56 [95% CI, 0.39-0.81]). For all doctors, factors associated with high job satisfaction were a good support network (OR, 1.72 [95% CI, 1.41-2.10]), patients not having unrealistic expectations (OR, 1.48 [95% CI, 1.25-1.75]), and having no difficulty in taking time off work (OR,1.48 [95% CI, 1.20-1.84]). These associations did not vary across doctor types. Compared with GPs, on-call work was associated with lower job satisfaction for specialists (OR, 0.48 [95% CI, 0.23-0.98]) and hospital non-specialists (OR, 0.25 [95% CI, 0.08-0.83]). CONCLUSION: This is the first national survey of job satisfaction for doctors in Australia. It provides an important baseline to examine the impact of future health care reforms and other policy changes on the job satisfaction of doctors.