Labor supply theory predicts systematic heterogeneity in the impact of recent welfare reforms on earnings, transfers, and income. Yet most welfare reform research focuses on mean impacts. We investigate the importance of heterogeneity using random-assignment data from Connecticut's Jobs First...

Although many programs redistribute resources in the U.S., two program were central in providing a safety net for those facing hardship during the Great Recession: the Supplemental Nutrition Assistance Program (SNAP), which grew to 47.7 million people in January 2013 - or 15.1 percent of all...

The complementarity between wage setting and welfare spending can explain how almost equally rich countries differ in economic and social equality among their citizens. More wage equality increases the welfare generosity via political competition in elections. A more generous welfare state fuels...

A number of developing country governments have introduced ambitious anti-poverty programs in recent years, but the dynamic effects of these initiatives on governments' election performance remain poorly understood. Especially in contexts with low program implementation quality, public support...

We leverage staggered implementation of lockdown across Chile's 346 municipalities, identifying dynamic impacts on domestic violence (DV). Using administrative data, we find lockdown imposition increases indicators of DV-related distress, while decreasing DV reports to the police. We identify...

Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult for data producers to reduce the extent of errors and for data users to assess the validity of analyses using the data. We study the determinants of...

We revisit the role of Capital Fundamentalism, in the context of the Government of Indonesia's Inpres Desa Tertinggal (IDT or Left Behind Village) Program, which injected capital into poor village economies. We evaluate the impact of the program on village welfare and structural transformation...

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...

We conduct a large-scale survey experiment in nine European countries to study how priming a major crisis (COVID-19), common economic interests, and a shared identity influences altruism, reciprocity and trust of EU citizens. We find that priming the COVID-19 pandemic increases altruism and...

This is the first study to evaluate the effects of early pension withdrawal policies on tenures on unemployment payments in the COVID-19 context. We use a novel set of linked whole-of-population administrative records to examine more than half-a-million Australians who found themselves newly on...