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What topic modeling could reveal about the evolution of economics

Author

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  • Angela Ambrosino
  • Mario Cedrini
  • John B. Davis
  • Stefano Fiori
  • Marco Guerzoni
  • Massimiliano Nuccio

Abstract

The paper presents the topic modeling technique known as Latent Dirichlet Allocation (LDA), a form of text-mining aiming at discovering the hidden (latent) thematic structure in large archives of documents. By applying LDA to the full text of the economics articles stored in the JSTOR database, we show how to construct a map of the discipline over time, and illustrate the potentialities of the technique for the study of the shifting structure of economics in a time of (possible) fragmentation.

Suggested Citation

  • Angela Ambrosino & Mario Cedrini & John B. Davis & Stefano Fiori & Marco Guerzoni & Massimiliano Nuccio, 2018. "What topic modeling could reveal about the evolution of economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(4), pages 329-348, October.
    • Handle: RePEc:taf:jecmet:v:25:y:2018:i:4:p:329-348
    DOI: 10.1080/1350178X.2018.1529215
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    Citations

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    Cited by:

    1. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    2. Kei Nakagawa & Kohei Hayashi & Yugo Fujimoto, 2024. "CFTM: Continuous time fractional topic model," Papers 2402.01734, arXiv.org, revised Feb 2024.
    3. Heikkilä, Jussi, 2020. "Classifying Economics for the Common Good: Connecting Sustainable Development Goals to JEL Codes," MPRA Paper 99559, University Library of Munich, Germany.
    4. Hugo S. Gonçalves & Sérgio Moro, 2023. "On the economic impacts of COVID‐19: A text mining literature analysis," Review of Development Economics, Wiley Blackwell, vol. 27(1), pages 375-394, February.
    5. Levy, Daniel & Mayer, Tamir & Raviv, Alon, 2022. "Economists in the 2008 financial crisis: Slow to see, fast to act," Journal of Financial Stability, Elsevier, vol. 60(C).
    6. Jessica Birkholz, 2023. "Do not judge a business idea by its cover: The relation between topics in business ideas and incorporation probability," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1327-1358, August.
    7. Cavallaro, Matteo & Mathieu, Alban, 2024. "Beyond the veil: Mapping cryptocurrencies' ecosystem," International Review of Financial Analysis, Elsevier, vol. 94(C).
    8. José M. Menudo & Francisco A. Borja, 2024. "Optimists in the Andes: The Impact of the French Liberal School on Economic Education in 19th Century Andean America," Working Papers 24.01, Universidad Pablo de Olavide, Department of Economics.
    9. Juan Pablo Castilla, 2020. "To Kill a Black Swan: The Credibility Revolution at CEDE, 2000-2018," Documentos CEDE 18366, Universidad de los Andes, Facultad de Economía, CEDE.
    10. Corbet, Shaen & Dowling, Michael & Gao, Xiangyun & Huang, Shupei & Lucey, Brian & Vigne, Samuel A., 2019. "An analysis of the intellectual structure of research on the financial economics of precious metals," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    11. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    12. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    13. Jiménez Durán, Rafael & Muller, Karsten & Schwarz, Carlo, 2024. "The Effect of Content Moderation on Online and Offline Hate: Evidence from Germany’s NetzDG," CAGE Online Working Paper Series 701, Competitive Advantage in the Global Economy (CAGE).
    14. David Ardia & Keven Bluteau & Mohammad‐Abbas Meghani, 2024. "Thirty years of academic finance," Journal of Economic Surveys, Wiley Blackwell, vol. 38(3), pages 1008-1042, July.
    15. Jessica Birkholz & Jutta Günther & Mariia Shkolnykova, 2021. "Using Topic Modeling in Innovation Studies: The Case of a Small Innovation System under Conditions of Pandemic Related Change," Bremen Papers on Economics & Innovation 2101, University of Bremen, Faculty of Business Studies and Economics.
    16. Leonardo Cei & Edi Defrancesco & Gianluca Stefani, 2022. "What topic modelling can show about the development of agricultural economics: evidence from the Journal Citation Report category top journals," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(2), pages 289-330.
    17. Marco Guerzoni & Massimiliano Nuccio & Federico Tamagni, 2022. "Discovering pre-entry knowledge complexity with patent topic modeling and the post-entry growth of Italian firms," LEM Papers Series 2022/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Nicola Melluso & Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Rapid detection of fast innovation under the pressure of COVID-19," Papers 2102.00197, arXiv.org.
    19. Marco Guerzoni & Consuelo R. Nava & Massimiliano Nuccio, 2019. "The survival of start-ups in time of crisis. A machine learning approach to measure innovation," Papers 1911.01073, arXiv.org.
    20. Jaque Herrera, Gabriela & Cárdenas-Retamal, Roberto & Barrales Henriquez, Daniel, 2022. "Tendencias en Publicaciones en Revistas Chilenas de Economía," Documentos de Trabajo 12, Estudios Nueva Economía.
    21. Ali Sina Önder & Sergey V. Popov & Sascha Schweitzer, 2021. "Leadership in Scholarship: Editors’ Appointments and the Profession’s Narrative," Working Papers in Economics & Finance 2021-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.

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