Melbourne Institute of Applied Economic and Social Research - Research Publications
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ItemUnion wage effects in the presence of enterprise bargaining(ECONOMIC SOC OF AUSTRALIA BROWN PRIOR ANDERSON PTY LTD, 2001-03-01)
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ItemThe dynamics of income poverty in Australia: Evidence from the First Three Waves of the HILDA Survey(Australia Council of Social Service, 2005)
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ItemLife satisfaction and the economic and social characteristics of neighbourhoods(SPRINGER, 2009-04-01)
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ItemWorking Time Mismatch and Subjective Well-being(WILEY, 2009-03-01)
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ItemLong Work Hours: Volunteers and Conscripts(WILEY, 2009-09-01)
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ItemPaid Annua Leave and Working Hours: Evidence from the HILDA Survey(SAGE PUBLICATIONS INC, 2008-09-01)Using data from wave 5 of the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this study examines: (1) the extent to which Australian employees use their annual leave entitlements; and (2) the association between annual leave taking and weekly hours of work. After restricting attention to employees likely to have entitlement to at least 4 weeks of paid annual leave, it is found that the mean number of days of leave taken per year is around 16 and that the majority of employees (63%) take less than 20. The incidence of annual leave taking is found to vary positively with the number of usual weekly hours of work, but the size of this effect is small and weak.
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ItemOverskilling, Job Insecurity, and Career Mobility(WILEY, 2009-04-01)
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ItemHousehold wealth in Australia: its components, distribution and correlates(Sage Publications, 2005)Using data from the second wave of the Household, Income and Labour Dynamics in Australia (HILDA) Survey, conducted in 2002, this article provides information on the composition, distribution and correlates of the wealth holdings of Australian households. The survey results indicate that Australian households have an average net worth (or wealth) of just over A$400,000, comprising assets of $473,000 and debts of $68,000. The largest component of wealth is home equity. The degree of inequality across households in wealth inequality is found to be much larger than the inequality in income and varies substantially with age and, to a lesser extent, with household type and education. Age, socio-economic background, educational attainment, marital status and the number of children can account for about 30 percent of the variation across households in (logged) wealth.