Papers

4

Total Citations

26

H-Index

3

About

Javier Miranda is a prominent economist and researcher whose work sits at the intersection of labor economics, industrial organization, and emerging technology adoption in U.S. manufacturing. Based at the U.S. Census Bureau, Miranda has made significant contributions to understanding how automation and robotics are reshaping American industry, particularly through his pioneering use of establishment-level administrative data. Miranda's most influential work centers on the geographic and economic distribution of industrial robots across U.S. manufacturing. His research introduced the concept of "Robot Hubs" — specific locations where robotics investment is dramatically concentrated — revealing that automation is far from uniformly distributed across the country. With his most-cited paper on this topic accumulating 13 citations since 2023, Miranda has helped establish a new empirical framework for studying automation's spatial footprint. Beyond analysis, Miranda played a foundational role in shaping how the Census Bureau actually measures robotics adoption, co-developing the landmark survey questions on robotics expenditures integrated into the Annual Survey of Manufactures. This methodological contribution ensures researchers for years to come will have reliable data to study automation's economic consequences — a lasting institutional legacy that amplifies the reach of his scholarly impact.

Research Focus

Key Achievements

3
H-Index
4
Papers
26
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robot Hubs: The Skewed Distribution of Robots in US Manufacturing
13 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Friedrich Schiller University Jena, Halle Institute for Economic Research

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago