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Bryan Seegmiller

Personal Details

First Name:Bryan
Middle Name:
Last Name:Seegmiller
Suffix:
RePEc Short-ID:pse754
[This author has chosen not to make the email address public]
https://www.bryanseegmiller.com/

Affiliation

(50%) Kellogg Graduate School of Management
Northwestern University

Evanston, Illinois (United States)
http://www.kellogg.northwestern.edu/
RePEc:edi:kgsnwus (more details at EDIRC)

(50%) Department of Finance
Kellogg Graduate School of Management
Northwestern University

Evanston, Illinois (United States)
http://www.kellogg.northwestern.edu/departments/finance.aspx
RePEc:edi:dfnwuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Menaka Hampole & Dimitris Papanikolaou & Lawrence D.W. Schmidt & Bryan Seegmiller, 2025. "Artificial Intelligence and the Labor Market," NBER Working Papers 33509, National Bureau of Economic Research, Inc.
  2. David Autor & Caroline Chin & Anna M. Salomons & Bryan Seegmiller, 2022. "New Frontiers: The Origins and Content of New Work, 1940–2018," NBER Working Papers 30389, National Bureau of Economic Research, Inc.
  3. Leonid Kogan & Dimitris Papanikolaou & Lawrence D. W. Schmidt & Bryan Seegmiller, 2021. "Technology, Vintage-Specific Human Capital, and Labor Displacement: Evidence from Linking Patents with Occupations," NBER Working Papers 29552, National Bureau of Economic Research, Inc.

Articles

  1. Seegmiller, Bryan & Papanikolaou, Dimitris & Schmidt, Lawrence D.W., 2023. "Measuring document similarity with weighted averages of word embeddings," Explorations in Economic History, Elsevier, vol. 87(C).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. David Autor & Caroline Chin & Anna M. Salomons & Bryan Seegmiller, 2022. "New Frontiers: The Origins and Content of New Work, 1940–2018," NBER Working Papers 30389, National Bureau of Economic Research, Inc.

    Cited by:

    1. Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
    2. Cäcilia Lipowski, 2024. "No Teens, No Tech: How Shortages of Young Workers Hinder Firm Technology Investments," CESifo Working Paper Series 11471, CESifo.
    3. Connor, Dylan Shane & Kemeny, Tom & Storper, Michael, 2023. "Frontier workers, and the seedbeds of inequality and prosperity," SocArXiv d93sj, Center for Open Science.
    4. Gathmann, Christina & Grimm, Felix & Winkler, Erwin, 2024. "AI, Task Changes in Jobs, and Worker Reallocation," IZA Discussion Papers 17554, Institute of Labor Economics (IZA).
    5. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2023. "Robots, occupations, and worker age: A production-unit analysis of employment," IWH Discussion Papers 5/2023, Halle Institute for Economic Research (IWH).
    6. Hobijn, Bart & Kaplan, Robert S., 2024. "Occupational switching during the second industrial revolution," Economics Letters, Elsevier, vol. 238(C).
    7. Samuel Muehlemann, 2024. "AI Adoption and Workplace Training," Economics of Education Working Paper Series 0232, University of Zurich, Department of Business Administration (IBW).
    8. Enrico Maria Fenoaltea & Dario Mazzilli & Aurelio Patelli & Angelica Sbardella & Andrea Tacchella & Andrea Zaccaria & Marco Trombetti & Luciano Pietronero, 2024. "Follow the money: a startup-based measure of AI exposure across occupations, industries and regions," Papers 2412.04924, arXiv.org, revised Dec 2024.
    9. Ekaterina Prytkova & Fabien Petit & Deyu Li & Sugat Chaturvedi & Tommaso Ciarli, 2024. "The Employment Impact of Emerging Digital Technologies," CESifo Working Paper Series 10955, CESifo.
    10. Freund, L. B., 2022. "Superstar Teams: The Micro Origins and Macro Implications of Coworker Complementarities," Janeway Institute Working Papers 2235, Faculty of Economics, University of Cambridge.
    11. Biondi, Filippo & Inferrera, Sergio & Mertens, Matthias & Miranda, Javier, 2024. "Declining business dynamism in Europe: The role of shocks, market power, and technology," IWH Discussion Papers 19/2023, Halle Institute for Economic Research (IWH), revised 2024.
    12. Fabien Petit, 2023. "AI and Employment Opportunities: Fostering Skill Development for a Prosperous Future," CEPEO Briefing Note Series 27, UCL Centre for Education Policy and Equalising Opportunities, revised Dec 2023.
    13. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    14. Mühlemann, Samuel, 2024. "AI Adoption and Workplace Training," IZA Discussion Papers 17367, Institute of Labor Economics (IZA).
    15. John Mullahy & Edward C. Norton, 2024. "Why Transform Y? The Pitfalls of Transformed Regressions with a Mass at Zero," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(2), pages 417-447, April.
    16. Yanying Wang & Qingyang Wu, 2024. "Robots, firm relocation, and air pollution: unveiling the unintended spatial spillover effects of emerging technology," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    17. Seegmiller, Bryan & Papanikolaou, Dimitris & Schmidt, Lawrence D.W., 2023. "Measuring document similarity with weighted averages of word embeddings," Explorations in Economic History, Elsevier, vol. 87(C).

  2. Leonid Kogan & Dimitris Papanikolaou & Lawrence D. W. Schmidt & Bryan Seegmiller, 2021. "Technology, Vintage-Specific Human Capital, and Labor Displacement: Evidence from Linking Patents with Occupations," NBER Working Papers 29552, National Bureau of Economic Research, Inc.

    Cited by:

    1. J. Carter Braxton & Kyle F. Herkenhoff & Jonathan L. Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," NBER Working Papers 29567, National Bureau of Economic Research, Inc.
    2. Ali Sina Önder & Sascha Schweitzer & Olga Tcaci, 2024. "Innovation and Regional Development: The Impact of Patenting on Labor Market Outcomes," Working Papers in Economics & Finance 2024-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    3. Montobbio, Fabio & Staccioli, Jacopo & Maria Enrica Virgillito & Vivarelli, Marco, 2021. "Labour-saving automation and occupational exposure: A text-similarity measure," MERIT Working Papers 2021-044, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Barry, John W. & Campello, Murillo & Graham, John R. & Ma, Yueran, 2022. "Corporate flexibility in a time of crisis," Journal of Financial Economics, Elsevier, vol. 144(3), pages 780-806.
    5. Hege, Ulrich & Li, Kai & Zhang, Yifei, 2025. "Climate Innovation and Carbon Emissions: Evidence from Supply Chain Networks," TSE Working Papers 25-1608, Toulouse School of Economics (TSE).
    6. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    7. Benjamin Schneider & Hillary Vipond, 2023. "The Past and Future of Work: How History Can Inform the Age of Automation," CESifo Working Paper Series 10766, CESifo.
    8. Schneider, Benjamin & Vipond, Hillary, 2023. "The past and future of work: how history can inform the age of automation," Economic History Working Papers 119282, London School of Economics and Political Science, Department of Economic History.
    9. Seegmiller, Bryan & Papanikolaou, Dimitris & Schmidt, Lawrence D.W., 2023. "Measuring document similarity with weighted averages of word embeddings," Explorations in Economic History, Elsevier, vol. 87(C).

Articles

  1. Seegmiller, Bryan & Papanikolaou, Dimitris & Schmidt, Lawrence D.W., 2023. "Measuring document similarity with weighted averages of word embeddings," Explorations in Economic History, Elsevier, vol. 87(C).

    Cited by:

    1. von Bodman, Nicolas, 2024. "The impact of prospectus language on IPO underpricing: A textual analysis of European IPOs," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(4), pages 1934-1963.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-HIS: Business, Economic and Financial History (2) 2022-01-10 2022-09-26. Author is listed
  2. NEP-INO: Innovation (2) 2022-01-10 2022-09-26. Author is listed
  3. NEP-LMA: Labor Markets - Supply, Demand, and Wages (2) 2022-01-10 2022-09-26. Author is listed
  4. NEP-TID: Technology and Industrial Dynamics (2) 2022-01-10 2022-09-26. Author is listed
  5. NEP-IPR: Intellectual Property Rights (1) 2022-01-10. Author is listed

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