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...

Our goal is to investigate the pathways that link welfare receipt across generations. We undertake a mediation analysis in which we not only calculate the intergenerational correlation in welfare, but also quantify the portion of that correlation that operates through key mechanisms. Our data...

We study the labor market and mental health impacts of debt relief among financially vulnerable individuals. We exploit a cutoff rule used by a Dutch welfare office to determine eligibility to debt relief of welfare debts. We use this cutoff as an instrument in both a fuzzy regression...