Richard Sellner

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About

Richard Sellner is a leading empirical economist whose research centers on the intersection of labor markets, technological change, and industrial organization. His work critically examines how automation and robotics reshape economic outcomes, with a particular focus on the pitfalls of aggregate data. In his highly influential paper, "Robots at work? Pitfalls of industry‐level data" (2024), Sellner provides a rigorous re-evaluation of seminal findings by Graetz and Michaels (2018), demonstrating that the widely cited positive effects of robots on productivity and the adverse impacts on low-skilled labor are partly driven by sample composition. This contribution has already garnered 9 citations, underscoring its immediate impact on the field. By challenging conventional wisdom with meticulous data analysis, Sellner has established himself as a careful methodological voice in the debate over automation’s economic consequences. His work is essential reading for researchers and students seeking to understand the complex, context-dependent effects of technological disruption on wages, employment, and industrial structure.