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This paper analyses the conditional probability of exiting unemployment of Australian individuals, aged 18–65 years, over the 2008–2010 period. The paper makes use of the ABS Longitudinal Labour Force Survey file, which includes more than 1.8 million records of around 150,000 households, which were observed on a month-by-month basis for up to eight months.
Multiple imputation is used to impute the missing values of previous educational attainment – a key covariate included in the analysis – using Bayesian Monte Carlo simulation methods. The subsequent investigation implements discrete-time hazards models to examine the duration of unemployment, with allowance for competing risks. The analysis includes empirical as well as design-related variables.

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	First Issue: May 2016 Latest Issue: May 2016 Price on Application