This paper aims to pursue a deeper understanding of gendered within-couple allocation of time into paid work and housework in heterosexual dual-earner couples. Relying on the second wave of Harmonised European Time Use Survey (HETUS) data for 10 European countries, we estimate spousal relative...

In the us, test score gaps by socioeconomic status and race increase with city size. This paper examines to what extent residential sorting on school quality can explain this fact. We combine 15 years of data on public elementary school students in North Carolina with geocoded school locations...

Recent empirical studies document that the distribution of earnings changes displays substantial deviations from lognormality: in particular, earnings changes are negatively skewed with extremely high kurtosis (long and thick tails), and these non-Gaussian features vary substantially both over...

This paper documents the role of unemployment and earnings risk in reconciling evidence in payoff differentials between self-employment and paid-employment. Using Spanish administrative data, we characterize the distribution and dynamics of earnings and document lower and less dispersed earnings...

Mental health conditions are prevalent but rarely treated in low- and middle-income countries (LMICs). Little is known about how these conditions affect economic participation. This paper shows that treating mental health conditions substantially improves recipients' capacity to work in these...

Licensed workers could be shielded from unemployment during recession since occupational licensing laws are asymmetric--making unlicensed workers an illegal substitute for licensed workers but not the reverse. We test our hypothesis using a difference-in-differences event study research design...

This paper evaluates claims about large macroeconomic implications of new advances in AI. It starts from a task-based model of AI's effects, working through automation and task complementarities. So long as AI's microeconomic effects are driven by cost savings/productivity improvements at the...

Business environments dominated by information flows and autonomous tasks, typical of knowledge-intensive industries, are likely to require enough social capital to be viable and productive. In this paper, we use new EUKLEMS-INTANProd industry-level data (Bontadini et al., 2023a) covering a...

The evolution of work is of emerging importance to advanced economies' growth. In this study, we develop a new semantic-distance-based algorithm to identify "new work," namely the new types of jobs introduced in the US. We characterize how "new work" relates to task content of jobs and skill...

The study aims to analyze the modalities of vocational training in rural areas in order to identify systematic contents that are relevant to define the perception of the general role of continuing vocational training in the economic and social development of rural areas, the functions of...