Daniele Moschella

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About

Daniele Moschella is a leading researcher at the intersection of innovation economics and labor markets, with a particular focus on how technological change reshapes employment, skills, and wages. His major contributions lie in bridging theoretical frameworks with rigorous empirical evidence to understand the complex dynamics between automation and labor outcomes. His most influential work, "Innovation and the Labor Market: Theory, Evidence, and Challenges" (2023), with 15 citations, provides a comprehensive critical review of the literature while offering novel evidence on how technological advancements affect overall employment structures. Moschella's groundbreaking study "The Dynamics of Automation Adoption: Firm-Level Heterogeneity and Aggregate Employment Effects" (2025, 11 citations) stands out for its innovative use of integrated datasets on trade activities, firm characteristics, and worker demographics across the entire population of Italian importing firms from 2011-2019. This work reveals crucial insights into how automation adoption impacts both adopting and non-adopting firms differently, demonstrating the importance of firm-level heterogeneity in understanding aggregate employment effects. His research has significant policy implications for navigating the challenges of technological disruption in modern economies.