Emin Dinlersoz
National Bureau of Economic Research, United States Census Bureau
Papers
8
Total Citations
577
H-Index
7
About
Emin Dinlersoz is a prominent economist whose research sits at the intersection of technology adoption, automation, and firm-level productivity, with a particular focus on how advanced and artificial intelligence technologies are reshaping the American workforce and business landscape. Working extensively with the U.S. Census Bureau's Annual Business Survey (ABS), Dinlersoz has played a pivotal role in designing and analyzing survey modules that capture technology adoption patterns across hundreds of thousands of U.S. firms — work that has become foundational for researchers studying digital transformation. His most influential contributions include pioneering studies on AI adoption in America, examining which firms adopt technologies like machine learning, natural language processing, and machine vision, and why adoption remains surprisingly limited even among large enterprises. His research consistently reveals that technology adopters tend to be larger, faster-growing firms, raising important questions about causality versus selection effects that he addresses rigorously using longitudinal business data. With his papers accumulating hundreds of citations — including 169 for his landmark 2020 ABS technology adoption study — Dinlersoz's empirical framework has become an essential reference for economists, policymakers, and business scholars seeking to understand the uneven diffusion of transformative technologies across the modern economy.
Research Focus
Key Achievements
Top Papers
- 1
- 2AI adoption in America: Who, what, and where96 citations · 2024
- 3
- 4AI Adoption in America: Who, What, and Where76 citations · 2023
- 5
- 6Advanced Technology Adoption: Selection or Causal Effects?48 citations · 2023
- 7AI Adoption in America: Who, What, and Where39 citations · 2023
- 8