Laura Bisio

National Institute of Statistics

Papers

1

Total Citations

11

H-Index

1

About

Laura Bisio is a leading scholar in labor economics and the economics of innovation, with a sharp focus on how automation reshapes firms and labor markets. Her research rigorously examines the firm-level dynamics of technology adoption, particularly the heterogeneous effects of automation-related investments on employment, productivity, and market structure. In her highly cited 2025 paper, “The dynamics of automation adoption: Firm-level heterogeneity and aggregate employment effects,” Bisio integrates rich datasets on trade, firm characteristics, and worker outcomes across the entire population of Italian importing firms from 2011 to 2019. She demonstrates that automation’s impact is not uniform: adopting firms experience distinct employment trajectories compared to non-adopters, with significant implications for aggregate labor demand. This work, already garnering 11 citations, provides a nuanced, micro-founded understanding of technological change that challenges simplistic narratives of job displacement. Bisio’s contributions are vital for policymakers and scholars seeking evidence-based insights into the future of work, making her a key voice in contemporary debates on automation and economic inequality.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
The dynamics of automation adoption: Firm-level heterogeneity and aggregate employment effects
11 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Institute of Statistics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago