This paper analyzes the long-term consequences of children experiencing homelessness. Our primary goal is to assess the importance of the potential pathways linking childhood homelessness to adult employment. We use novel panel data that link survey and administrative data for a sample of...

We use variation in the extent of generational persistence across social assistance payments to shed light on the factors leading to intergenerational disadvantage. Our administrative data come from the Australian social security system and provide us with detailed social assistance trajectories...

Using high-quality nation-wide social security data combined with machine learning tools, we develop predictive models of income support receipt intensities for any payment enrolee in the Australian social security system between 2014 and 2018. We show that off-the-shelf machine learning...