Credits and Acknowledgements
If you use this dashboard, the underlying dataset, or the methodology in published work, please cite the appropriate artifact below. Each is independently archived and citable.
How to cite the dashboard
Howell, A. (2026). Geography of Skill Specialization and Complexity [Software]. Zenodo. https://doi.org/10.5281/zenodo.20337193
How to cite the dataset
Howell, A. (2026). A U.S. county panel of skill specialization, relatedness, and complexity, across employer entity type [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.20330085
How to cite the accompanying paper
Howell, A., Feldman, M., Lanahan, L., Kalathil, N., & Johnson, E. (2026). An economic geography dataset of U.S. skill specialization, relatedness, and complexity. Working paper, SSRN.
Attribution and license
The dashboard source code is released under the MIT License. The underlying county-year panel is released separately under Creative Commons Attribution 4.0 International (CC BY 4.0) in the companion skills-econ-geog-data repository. The derived measures are computed from Lightcast (formerly Burning Glass Technologies) micro data used under an academic license; the Lightcast license governs the raw postings, not these aggregates.
Built and maintained by Anthony Howell.
Acknowledgments
This material is based upon work supported by the National Science Foundation under Grant No. 2431853. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
Links
- Live dashboard: https://skills-econ-geog.netlify.app/
- Dashboard DOI: https://doi.org/10.5281/zenodo.20337193
- Dataset repository: https://github.com/AntJam-Howell/skills-econ-geog-data
- Dataset DOI: https://doi.org/10.5281/zenodo.20330085