Daniel Dujava
Papers
1
Total Citations
2
H-Index
1
About
Daniel Dujava is a researcher focused on the macroeconomic implications of automation and artificial intelligence, particularly their impact on economic growth, labor markets, and income inequality. His most-cited work, "Economic growth and convergence during the transition to production using automation capital" (2019), extends the Solow growth model to analyze how automation capital substitutes low-skilled labor during the transition from standard production. This paper provides a foundational framework for understanding the dynamics of technological unemployment and the convergence paths of economies adopting AI and machine learning technologies. Though his citation count is currently modest, Dujava’s contributions are notable for their theoretical rigor in addressing one of the most pressing economic questions of our time: how automation reshapes the distribution of work and wealth. His research offers valuable insights for policymakers and students grappling with the future of work, positioning him as a thoughtful voice in the ongoing debate on technology-driven economic transformation.
Research Focus
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Top Papers
- 1