Lorenzo Cappellari

Lorenzo Cappellari è professore di Economia politica all’Università Cattolica di Milano, dove insegna anche Economia del Lavoro ed Econometria. È membro di centri di ricerca internazionali (IZA e CESIfo) e ha svolto attività di ricerca per l’OCSE, la Russel Sage Foundation, la Nuffield Foundation e la British Academy. È visiting professor presso il Danish National Center for Social Research di Copenhagen e Associate Editor del «Journal of the Royal Statistical Society, Series A». I suoi interessi riguardano il mercato del lavoro, la disuguaglianza, il capitale umano e la microeconometria applicata.

Author's titles

Introduction digital

by Lorenzo Cappellari, Claudio Lucifora

Year: 2020

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Sorting, Social Comparison and Women’s Job Satisfaction digital

by Margherita Agnoletto, Lorenzo Cappellari, Astrid Gamba

Year: 2020

Using linked employer-employee data for the UK we address competing explanations for gender gaps in job satisfaction. Previous studies have rationalized the puzzling greater satisfaction of women either by pointing out gender differences in competitive attitudes, or through differences in sorting across jobs and industries. Our data allow us to test both explanations within a unified framework. The employer-employee structure of the data enables us to control for workplace unobserved heterogeneity that drives sorting...

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School Tracks, College Performance and Early Labour Market Outcomes digital

by Lorenzo Cappellari

Year: 2012

Using data on a cohort of school leavers observed three years after finishing school this paper estimates the impact of school tracks on post-school behaviours, namely the rates of transition to college, college dropout, labour market participation and unemployment. Identification is achieved using retrospective information on parental unemployment at the time of track choice. Results show that students from the academic oriented track achieve better college performance and experience a worse transition to the labour market relative to students from labour market oriented tracks, consistent with the idea that tracking generates efficiency gains through specialization of knowledge. Results also show that family background is far more important than ability in determining allocation to tracks. The estimated distribution of unobserved heterogeneity suggests that such a situation may result in some inefficient allocations of less able students to college-oriented tracks, inflating college dropout rates. Keywords: School tracking; College performance; School-to-work transition; Endogeneity. JEL Classification: I21, J24, C35l.

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