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Economic History Goes Digital: Topic Modeling the Journal of Economic History

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  • Lino Wehrheim

Abstract

Digitization and computer science have established a whole new set of methods to analyze large collections of texts. One of these methods is particularly promising for economic historians: topic models, statistical algorithms that automatically infer themes from large collections of texts. In this article, I present an introduction to topic modeling and give a very first review on the research using topic models. I illustrate their capacity by applying them on 2.675 articles published in the Journal of Economic History between 1941 and 2016. This contributes to traditional research on the JEH and to current research on the cliometric revolution.

Suggested Citation

  • Lino Wehrheim, 2017. "Economic History Goes Digital: Topic Modeling the Journal of Economic History," Working Papers 177, Bavarian Graduate Program in Economics (BGPE).
    • Handle: RePEc:bav:wpaper:177_wehrheim
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    File URL: https://bgpe.cms.rrze.uni-erlangen.de/files/2023/07/177_Economic-History-Goes-Digital_Topic-Modeling-the-Journal-of-Economic-History.pdf
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    References listed on IDEAS

    as
    1. Vegard H. Larsen & Leif Anders Thorsrud, 2015. "The Value of News," Working Papers No 6/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Fligstein, Neil & Brundage, Jonah S & Schultz, Michael, 2014. "Why the Federal Reserve Failed to See the Financial Crisis of 2008: The Role of “Macroeconomics” as a Sense making and Cultural Frame," Institute for Research on Labor and Employment, Working Paper Series qt97k6t78z, Institute of Industrial Relations, UC Berkeley.
    3. Robert A. Margo, 2018. "The integration of economic history into economics," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(3), pages 377-406, September.
    4. Lüdering Jochen & Winker Peter, 2016. "Forward or Backward Looking? The Economic Discourse and the Observed Reality," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(4), pages 483-515, August.
    5. Leif Anders Thorsrud, 2016. "Nowcasting using news topics Big Data versus big bank," Working Papers No 6/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    6. Stephen Hansen & Michael McMahon, 2016. "Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication," NBER Chapters, in: NBER International Seminar on Macroeconomics 2015, National Bureau of Economic Research, Inc.
    7. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    8. Grimmer, Justin, 2010. "A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases," Political Analysis, Cambridge University Press, vol. 18(1), pages 1-35, January.
    9. Claude Diebolt & Michael Haupert, 2018. "A cliometric counterfactual: what if there had been neither Fogel nor North?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(3), pages 407-434, September.
    10. Grajzl, Peter & Murrell, Peter, 2019. "Toward understanding 17th century English culture: A structural topic model of Francis Bacon's ideas," Journal of Comparative Economics, Elsevier, vol. 47(1), pages 111-135.
    11. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
    12. Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
    13. Collins, William J., 2015. "Looking Forward: Positive and Normative Views of Economic History's Future," The Journal of Economic History, Cambridge University Press, vol. 75(4), pages 1228-1233, December.
    14. Goodrich, Carter, 1960. "Economic History: One Field or Two?," The Journal of Economic History, Cambridge University Press, vol. 20(4), pages 531-538, December.
    15. Lamoreaux, Naomi, 2015. "The Future of Economic History Must Be Interdisciplinary," The Journal of Economic History, Cambridge University Press, vol. 75(4), pages 1251-1257, December.
    16. Claude Diebolt & Michael Haupert, 2018. "Cliometrics," Working Papers of BETA 2018-01, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    17. Smith, Robert Freeman, 1963. "The Formation and Development of the International Bankers Committee on Mexico," The Journal of Economic History, Cambridge University Press, vol. 23(4), pages 574-586, December.
    18. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    19. McCloskey, Donald N, 1976. "Does the Past Have Useful Economics?," Journal of Economic Literature, American Economic Association, vol. 14(2), pages 434-461, June.
    20. Vegard Høghaug Larsen & Leif Anders Thorsrud, 2022. "Asset returns, news topics, and media effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 838-868, July.
    21. Mitchener, Kris James, 2015. "The 4D Future of Economic History: Digitally-Driven Data Design," The Journal of Economic History, Cambridge University Press, vol. 75(4), pages 1234-1239, December.
    22. Abramitzky, Ran, 2015. "Economics and the Modern Economic Historian," The Journal of Economic History, Cambridge University Press, vol. 75(4), pages 1240-1251, December.
    23. David J. Newman & Sharon Block, 2006. "Probabilistic topic decomposition of an eighteenth‐century American newspaper," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(6), pages 753-767, April.
    24. Claude Diebolt & Michael Haupert (ed.), 2016. "Handbook of Cliometrics," Springer Books, Springer, edition 1, number 978-3-642-40406-1, January.
    25. Walters, Philip G. & Walters, Raymond, 1944. "The American Career of David Parish," The Journal of Economic History, Cambridge University Press, vol. 4(2), pages 149-166, November.
    26. Ran Abramitzky, 2015. "Economics and the Modern Economic Historian," NBER Working Papers 21636, National Bureau of Economic Research, Inc.
    27. Whaples, Robert, 1991. "A Quantitative History of the Journal of Economc History and the Cliometric Revolution," The Journal of Economic History, Cambridge University Press, vol. 51(2), pages 289-301, June.
    28. Kevin M. Quinn & Burt L. Monroe & Michael Colaresi & Michael H. Crespin & Dragomir R. Radev, 2010. "How to Analyze Political Attention with Minimal Assumptions and Costs," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 209-228, January.
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    Cited by:

    1. David Lenz & Peter Winker, 2020. "Measuring the diffusion of innovations with paragraph vector topic models," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-18, January.

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    More about this item

    Keywords

    Economic History; Topic Models; Latent Dirichlet Allocation; Cliometrics; Digitization; Methodology;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods

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