IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2603.20767.html

The Process and Dynamics of the Nobel Memorial Prize in Economics, 1969-2025

Author

Listed:
  • Peter J. Dolton
  • Richard S. J. Tol

Abstract

The Nobel Memorial Prize in Economics has been awarded annually since 1969. Who wins the prize is a topic of much interest and tracks the whole course of the academic discipline over the last 57 years. Explaining who wins the prize in any given year is a complex process, which involves the subtle endogeneity of the choice of the field and the individual(s) who should be honoured. Citations, track records, networks of past winners, institutional factors along with field rotation and Economic Prize Committee composition may all play a role. A dynamic sample involving a changing stock of would-be candidates along with a moving flow -- both into and out of the sample -- add complexities to the modelling. We find robust evidence that the Nobel Prize rotates in a semi-regular way between the fields of economics. Earlier awards were for a single paper, later ones for a body of work. Networks do not matter, but having a Nobel student or co-author does. There is some evidence that the personal preferences of Committee members had an effect on either field or individual winner. The Committee's decisions changed after Lindbeck retired.

Suggested Citation

  • Peter J. Dolton & Richard S. J. Tol, 2026. "The Process and Dynamics of the Nobel Memorial Prize in Economics, 1969-2025," Papers 2603.20767, arXiv.org.
  • Handle: RePEc:arx:papers:2603.20767
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2603.20767
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Samuel Bjork & Avner Offer & Gabriel Söderberg, 2014. "Time series citation data: the Nobel Prize in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 185-196, January.
    2. Susan Athey & Lawrence F. Katz & Alan B. Krueger & Steven Levitt & James Poterba, 2007. "What Does Performance in Graduate School Predict? Graduate Economics Education and Student Outcomes," American Economic Review, American Economic Association, vol. 97(2), pages 512-520, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tol, Richard S.J., 2023. "Nobel begets Nobel in economics," Journal of Informetrics, Elsevier, vol. 17(4).
    2. Richard S. J. Tol, 2024. "The Nobel family," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1329-1346, March.
    3. Mikel Alayo & Txomin Iturralde & Amaia Maseda & Gloria Aparicio, 2021. "Mapping family firm internationalization research: bibliometric and literature review," Review of Managerial Science, Springer, vol. 15(6), pages 1517-1560, August.
    4. Chakraborty, Joyita & Pradhan, Dinesh K. & Nandi, Subrata, 2024. "A multiple k-means cluster ensemble framework for clustering citation trajectories," Journal of Informetrics, Elsevier, vol. 18(2).
    5. Wen Lou & Jiangen He & Lingxin Zhang & Zhijie Zhu & Yongjun Zhu, 2023. "Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5767-5790, October.
    6. Gema Albort-Morant & Jörg Henseler & Antonio Leal-Millán & Gabriel Cepeda-Carrión, 2017. "Mapping the Field: A Bibliometric Analysis of Green Innovation," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    7. Michael E. Rose & Suraj Shekhar, 2021. "Indirect Contacts in Hiring: The Economics Job Market," Working Papers 55, Ashoka University, Department of Economics.
    8. Bilal Barış Alkan & Leyla Karakuş & Bekir Direkci, 2023. "Knowledge discovery from the texts of Nobel Prize winners in literature: sentiment analysis and Latent Dirichlet Allocation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5311-5334, September.
    9. Joshua Angrist & Marc Diederichs, 2024. "Dissertation Paths: Advisors and Students in the Economics Research Production Function," NBER Working Papers 33281, National Bureau of Economic Research, Inc.
    10. Richard S. J. Tol, 2022. "Rise of the Kniesians: the professor-student network of Nobel laureates in economics," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 29(4), pages 680-703, July.
    11. Merigó, José M. & Gil-Lafuente, Anna M. & Kydland, Finn & Amiguet, Lluis & Vivoda, Vlado & Campbell, Gary & Lei, Yalin & Fleming-Muñoz, David, 2024. "50 years of Resources Policy: A bibliometric analysis," Resources Policy, Elsevier, vol. 96(C).
    12. Jelnov, Pavel & Weiss, Yoram, 2022. "Influence in economics and aging," Labour Economics, Elsevier, vol. 77(C).
    13. Thomas Bolli & Tommaso Agasisti & Geraint Johnes, 2015. "The impact of institutional student support on graduation rates in US Ph.D. programmes," Education Economics, Taylor & Francis Journals, vol. 23(4), pages 396-418, August.
    14. Wai, Jonathan & Lee, Matthew H. & Kell, Harrison J., 2022. "Distributions of academic math-verbal tilt and overall academic skill of students specializing in different fields: A study of 1.6 million graduate record examination test takers," Intelligence, Elsevier, vol. 95(C).
    15. Richard S. J. Tol, 2022. "Nobel begets Nobel," Papers 2207.04441, arXiv.org, revised Mar 2023.
    16. Stock, Wendy A. & Finegan, T. Aldrich & Siegfried, John J., 2009. "Can you earn a Ph.D. in economics in five years?," Economics of Education Review, Elsevier, vol. 28(5), pages 523-537, October.
    17. Zehra Taşkın, 2021. "Forecasting the future of library and information science and its sub-fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1527-1551, February.
    18. Jihui Chen & Qihong Liu & Sherrilyn Billger, 2013. "Where Do New Ph.D. Economists Go? Recent Evidence from Initial Labor Market," Journal of Labor Research, Springer, vol. 34(3), pages 312-338, September.
    19. Marco Di Cintio & Emanuele Grassi, 2016. "The returns to temporary migration: The case of Italian Ph.D.s," EERI Research Paper Series EERI RP 2016/15, Economics and Econometrics Research Institute (EERI), Brussels.
    20. Delbianco, Fernando & Fioriti, Andrés & Hernandez-Chanto, Allan & Tohmé, Fernando, 2020. "A Markov-switching approach to the study of citations in academic journals," Journal of Informetrics, Elsevier, vol. 14(4).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2603.20767. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.