Melbourne Institute of Applied Economic and Social Research - Research Publications

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    ATTRITION BIAS IN PANEL DATA: A SHEEP IN WOLF'S CLOTHING? A CASE STUDY BASED ON THE MABEL SURVEY
    Cheng, TC ; Trivedi, PK (WILEY, 2015-09)
    This paper investigates the nature and consequences of sample attrition in a unique longitudinal survey of medical doctors. We describe the patterns of non-response and examine if attrition affects the econometric analysis of medical labour market outcomes using the estimation of physician earnings equations as a case study. We compare the econometric gestimates obtained from a number of different modelling strategies, which are as follows: balanced versus unbalanced samples; an attrition model for panel data based on the classic sample selection model; and a recently developed copula-based selection model. Descriptive evidence shows that doctors who work longer hours, have lower years of experience, are overseas trained and have changed their work location are more likely to drop out. Our analysis suggests that the impact of attrition on inference about the earnings of general practitioners is small. For specialists, there appears to be some evidence for an economically significant bias. Finally, we discuss how the top-up samples in the Medicine in Australia: Balancing Employment and Life survey can be used to address the problem of panel attrition.
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    Changes in Doctors' Working Hours: A Longitudinal Analysis
    Joyce, CM ; Wang, WC ; Cheng, TC (SAGE PUBLICATIONS INC, 2015-10)
    The study examined changes in doctors' working hours and satisfaction with working hours over five time points and explored the influence of personal characteristics on these outcomes. Latent growth curve modeling was applied to Medicine in Australia: Balancing Employment and Life data, collected from 2008 to 2012. Findings showed that working hours significantly declined over time, with a greater decrease among males, older doctors, and doctors with fewer children. Satisfaction increased faster over time among specialists, doctors with poorer health, those whose partners did not work full-time, and those with older children. The more hours the doctors worked initially, the lower satisfaction reported, and the greater the increase in satisfaction. Findings are consistent with a culture change in the medical profession, whereby long working hours are no longer seen as synonymous with professionalism. This is important to take into account in projecting future workforce supply.