Anders Humlum

Anders Humlum is an Assistant Professor of Economics and Fujimori/Mou Faculty Scholar at the University of Chicago Booth School of Business. His research bridges contemporary labor economics with historical economic analysis, focusing on how AI and automation affect the economy and how reskilling policies can help workers adapt to technological changes.

Professor Humlum's research interests span several key areas:

• Labor market impacts of artificial intelligence and automation technologies
• Reskilling policies and their effects on worker adaptation and mental health
• Non-wage amenities and compensating differentials in the labor market
• Historical patterns of technology adoption in manufacturing
• Gender differences in historical manufacturing establishments

His recent publications demonstrate methodological diversity, employing quasi-experimental designs, difference-in-differences approaches, and analysis of large administrative datasets from Denmark and historical US Census records. His work spans contemporary issues like AI impacts on labor markets and historical analyses of technology transitions in 19th century manufacturing, revealing consistent patterns in how firms and workers respond to technological change.

Recognition:

• Fujimori/Mou Faculty Scholar at the University of Chicago Booth School of Business

Professor Humlum is actively engaged in research with multiple working papers examining important questions in labor economics. His grant 'Collaborative Research: Ownership and Technology Adoption: Evidence from the Census of Manufactures' indicates ongoing work analyzing historical manufacturing data to understand technology adoption patterns. His research collaborations span international boundaries, working with scholars from Danish institutions and other US-based economists.

While specific information about his laboratory or research team isn't provided, Professor Humlum's work with large administrative datasets suggests he maintains strong connections with data providers in Denmark and likely supervises research assistants working with historical manufacturing records.